Ofertas de empleo para Google Analytics

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 nov.

. TSQL Azure Cloud Coumputing Power BI

En EY, estamos preparados para afrontar el futuro con confianza, “shape the future with confidence"

Nuestro objetivo es apoyarte para que alcances el éxito dentro de un entorno globalmente conectado, colaborando con equipos diversos para alcanzar grandes metas.

Únete a nosotros y construye una experiencia única y un mundo mejor para todos.

La oportunidad:

EY se posiciona como un líder global en servicios de auditoría, consultoría, asesoramiento en transacciones y estrategia, legal y fiscal, contando con más de 400.000 profesionales en más de 150 países. En España, somos un equipo de más de 6.000 profesionales distribuidos en 15 oficinas.

En la actualidad, estamos buscando reforzar nuestro equipo con la incorporación de un Senior Data & Analytics Engineer – Ecosistema Microsoft (Fabric / Azure) con, al menos, 3 años de experiencia para integrar en proyectos a nivel nacional e internacional.

Funciones:

• Diseñar arquitecturas de datos sobre medallion (bronze/silver/gold) pensando la capa gold como producto de datos consumible, no como volcado técnico de datos.
• Modelar en esquema en estrella con criterio: hechos, dimensiones, granularidad, SCDs.
• Construir pipelines ETL/ELT robustos en Microsoft Fabric (Pipelines, Notebooks PySpark, Lakehouse, Warehouse).
• Trabajar con Git/GitHub y CI/CD: PRs, code review, despliegues controlados.
• Colaborar en la capa de análisis (Power BI) garantizando que el modelo de datos la habilite bien.
• Integrar capacidades de IA cuando aporten valor (Azure OpenAI, Copilot in Fabric, RAG).
• Participar en decisiones de arquitectura y mentorizar a perfiles junior/mid.
  
  

Requisitos necesarios

Experiecnia más de 3 años en proyectos de datos en cloud (Azure, Fabric, Synapse, Databricks o equivalente), no como usuario de herramientas, sino como alguien que ha diseñado pipelines, depurado problemas de rendimiento y tomado decisiones de arquitectura.

• Haber diseñado y ejecutado proyectos end-to-end, desde ingesta hasta capa de análisis. Te preguntaremos por casos concretos.
• Arquitectura medallion y modelado dimensional (estrella) aplicados en proyectos reales.
• SQL avanzado y Python/PySpark sólido.
• Git/GitHub con flujo profesional (PRs, code review, CI/CD).
• Inglés intermedio-alto.
  
  

Qué Buscamos:

Aumentar el valor de nuestro equipo de Microsoft para, de esta manera dar un mejor servicio a nuestros clientes y ayudar a la transformación digital en un entorno cambiante y dinámico.

¿Qué te ofrecemos?

En EY, te acompañaremos en el desarrollo de habilidades orientadas al futuro, mientras te proporcionamos experiencias excepcionales para enfrentar nuevos retos con confianza. Nuestro objetivo es apoyarte para alcanzar el éxito profesional dentro de un entorno globalmente conectado, donde te facilitaremos herramientas y flexibilidad para que puedas alcanzar tus metas.

Además, valoramos una cultura inclusiva y la diversidad, reconociendo que cada persona es única y tiene algo valioso que aportar. Te daremos voz para que compartas tus ideas, porque en EY creemos que cada idea es importante. También te proporcionaremos la confianza y formación necesarias para que puedas crecer y convertirte en un gran líder.

¿Estás listo para dar forma a tu futuro con confianza? Únete a nosotros

EY | Building a better working world

• EY existe para construir un mundo de trabajo mejor, ayudamos a nuestros clientes, personas y sociedad a crear un valor a largo plazo para generar valor en el mercado.
• Gracias a los datos y la tecnología, tenemos equipos en más de 150 países generando confianza y ayudando a los clientes a crecer, transformarse y operar.
• Trabajando en Assurance, Consulting, Tax&Legal, Strategy y Transactions, los equipos de EY se hacen las mejores preguntas para encontrar nuevas respuestas a complejos problemas en los que se encuentra nuestro mundo a día de hoy.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 nov.

Teletrabajo . API Azure Cloud Coumputing REST SaaS AWS Power BI Salesforce Tableau

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You'll Be Doing

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
  
  
  

What Makes You a Great Fit

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.
  
  
  

Bonus Points For

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.
  
  
  

How We Work

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards

In Spain, the Base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

• Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
  
  
  

Why You’ll Thrive At Grafana Labs

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
  
  
  

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 nov.

. Python TSQL Cloud Coumputing Git

Scopely is looking for an Analytics Engineer, Finance to join our Finance team in Barcelona, Spain, on a hybrid basis, working 3 days a week from our hub.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

In this role, you will help to improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models. Working closely with stakeholders and the Lead Analytics Engineer in Finance, this role contributes to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities.

What You Will Do

• Partner with Finance stakeholders to understand business requirements, financial processes, and controls, translating them into practical technical solutions with guidance from the Lead Analytics Engineer.
• Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows.
• Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions.
• Help modernize legacy SQL, scheduled workflows, and manual processes into maintainable, documented, and dependency-aware pipelines using dbt.
• Build and improve automated data-quality checks, reconciliations, monitoring, and alerting to strengthen the reliability of Finance data workflows.
• Apply Git, code review, testing, and deployment practices to improve the quality and maintainability of Finance data assets.
• Support the automation of recurring spreadsheet-based processes and manual handoffs, while maintaining technical documentation, dependency maps, runbooks, and recovery procedures.
• Collaborate with the Lead Analytics Engineer to apply engineering standards and contribute to governed, reusable models within the Looker semantic and reporting layer.
  
  

What We're Looking For

• Strong SQL skills and experience developing and maintaining production data transformations.
• Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift.
• Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies.
• Knowledge of Git, version control, code reviews, and collaborative software development practices.
• Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes.
• Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems.
• Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data.
• Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate.
• Openness to learning and responsibly using AI-supported tools to improve SQL development, documentation, debugging, testing, and workflow efficiency, while maintaining appropriate data security and validation practices.
  
  

Bonus Points

• Familiarity with financial controls, reconciliation, general-ledger concepts, or revenue recognition.
• Experience in gaming, digital products, app-store revenue, or virtual economies.
• Experience with data lineage, CI/CD, observability, or data governance practices.
• Experience working with GCP, Airflow, Cloud Composer, or Looker.
• Experience modernizing legacy SQL pipelines or stored-procedure-heavy environments.
• Familiarity with orchestration tools for scheduling, dependency management, monitoring, and recovery.
• Experience supporting business-critical workflows with defined service-level agreements (SLAs).
• Working knowledge of Python or another programming language used for automation and data workflows.
• Experience using or integrating agentic workflows in Finance processes.
  
  

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 nov.

. Javascript Python TSQL Docker Cloud Coumputing Kubernetes R IoT Tableau

The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next.

This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support.

Location: This is a remote role based in the AMER or EMEA Region.

The role entails

• Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad.
• Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code.
• Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data).
• Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services.
• “Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value.
  
  

What we are looking for in you

• Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering.
• Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.
• Ability to translate business questions to key research objectives.
• Ability to identify the best methodology to execute research, synthesize and analyze findings.
• Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset.
• Willingness to examine the status quo and be resilient in the face of challenges.
• Ambition to build tomorrow's AI/Data stack in open source.
• An exceptional academic track record from high school and university.
• Business level written and spoken English.
• Sincere personal motivation aligned with our mission.
• International travel 2-4 times a year for company events up to two weeks long.
  
  

In addition we expect that you will match our values, by being:

• Precise, taking care to deliver correctness and clarity.
• Reliable, delivering high quality work that builds trust and confidence.
• Accessible, collaborating to build products and systems that are usable.
• Adroit, blending enthusiasm, knowledge, adaptability, style and character.
  
  

Nice-to-have skills

• Experience with dbt (Data Build Tool), Airbyte, Ranger, Superset, Temporal, or Trino
• Basic understanding of containerization technologies such as Docker and Kubernetes
• Agentic Engineering
• Product management
• User experience and design
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Bi-annual compensation review
• Company recognition rewards
• 40 days annual leave per annum, including public holidays and our All Company holiday periods
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.

Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 nov.

Teletrabajo . API Python TSQL Cloud Coumputing REST Google Ads Kafka Spark LESS Salesforce

Job Description

Kleinanzeigen reaches 36M+ monthly users and is Germany’s leading online classifieds market. We are a sustainability-focused platform where you won't just write code; you will power the services that bridge our high-traffic backend with seamless user experiences.

As a Data Engineer (Analytics & Products) at Kleinanzeigen, you start where the data need begins — not where the code does. You will work directly with product managers, analysts, and domain stakeholders to understand what decisions the data needs to support, how it will be consumed, and what already exists in the platform before writing a single line. From there, you design and build data assets that are homogeneous with the existing stack, cost-effective at scale, maintainable by the next engineer, and self-discoverable, so consumers can find, understand, and trust what you built without asking you.

You will own the full lifecycle: ingestion through Airflow DAGs, transformation across dbt stage, core, and report layers on Databricks, and the quality, documentation, and observability that make those assets production-grade. You stay current with Airflow and design DAG topology deliberately, knowing when to use dynamic task mapping, data-aware scheduling, the TaskFlow API, or a Cosmos dbt task group with Watcher mode for performance-critical pipelines. You understand Spark well enough to know why a dbt incremental model running in Databricks produces a full table scan instead of a partition filter push-down, how a poorly configured merge operation compounds into file fragmentation over time, and what to do about it, whether that means adjusting the incremental strategy, adding liquid clustering, running OPTIMIZE, or rethinking the model grain entirely. You write Python and shell scripts as naturally as SQL and follow engineering core principles: modularity, idempotency, testability, not because they are rules, but because they make your work last.

You operate in an AI-First engineering model: AI handles execution; you own intent, precision, and correctness. You use it to automate, to accelerate best practices, and to raise the quality bar across the team, not to ship faster with less judgment. You will collaborate closely with analysts, product managers, data platform engineers, and stakeholders across the company to ensure that the datasets we create and maintain in our data platform are reliable, trustworthy, and built to serve the decisions that matter.

Job requirements

Data Modelling & dbt Development

• Implement dbt models across the medallion architecture applying the right materialisation strategy for each layer and use case — incremental, full refresh or snapshots — with consistent naming conventions, YAML documentation, metadata tagging, unit tests to validate critical business logic, and reusable macros for common transformation and data replication patterns
• Build and refactor models for different business areas of the company, including for example marketing performance, product metrics, C2C transactions, monetisation, vibrancy, and trust & safety
• Author reusable macros and apply consistent naming conventions, YAML documentation, and metadata tagging (billed, retention, gdpr)
• Design data models that are homogeneous with the existing stack, built at the right grain for the use case, cost-effective to run, and self-discoverable without needing the author to explain them
• Perform cost-aware modelling: clustering strategies, warehouse sizing, incremental scan reduction, and pre-aggregation layers
  
  

Data Ingestion & Pipeline Engineering

• Build and maintain Airflow DAGs using Python operators, designing DAG topology deliberately by choosing execution patterns, dependency structures, and sensor logic that match the operational requirements of each pipeline
• Design sensor logic for pipeline dependencies, including intraday vs daily completeness checks and DST-aware temporal handling
• Operate Cosmos dbt task groups within Airflow, including DAG splitting, warehouse selection, and Cosmos version upgrades
• Integrate new data sources end-to-end by building reliable, fault-tolerant connections across heterogeneous endpoint types including REST APIs, event streams, database connectors and file-based sources, with error handling, retry logic, and security patterns that make each integration production-safe from day one, unit testing every operator and transformation component where possible, and defining SLAs and SLOs that set clear expectations on data freshness, completeness, and availability for downstream consumers
• Work with data in the right format for each layer: Avro for event-driven ingestion schemas, Parquet for efficient columnar storage, and Delta for ACID-compliant lakehouse tables with time travel and schema evolution
  
  

Data Quality & Reliability

• Write dbt tests (not_null, unique, accepted_values) and semantic row-count checks to catch data quality issues before they reach consumers
• Author unit tests for critical business logic using dbt's unit test framework
• Own data quality across the full lifecycle: design and maintain quality check pipelines combining dbt tests, semantic validation and custom logic, monitor pipeline health proactively before issues reach downstream consumers, diagnose and resolve root causes across schema drift, silent failures, duplicate data and idempotency issues, and plan and execute backfills safely with pre-validation, before and after checks and documented rollback criteria
• Apply governance standards consistently across every pipeline and data asset you own, ensuring compliance requirements, data classification, retention policies and ownership accountability are traceable and maintained as the platform evolves
• Contribute to the reliability of the platform beyond your own work, flagging systemic issues, improving shared patterns, and leaving every codebase and dataset in better shape than you found it
  
  

Cost Optimisation

• Identify and implement cost reduction opportunities: warehouse downsizing, incremental model rewrites, DAG consolidation, unused table deprecation
• Ensure governance rules for compliance and cost ownership are applied consistently across pipelines and data assets — including tagging standards (business_unit, business_area, team) in Airflow and dbt
• Evaluate and act on compute cost signals from Databricks query cost tables
  
  

Stakeholder Collaboration & Knowledge Sharing

• Partner with analysts, product managers and domain teams to translate business requirements into accurate, reusable data models, and enable them to build and own their own data assets through patterns, templates, PR reviews and pair programming
• Provide consultancy and training to product teams on data ingestion and transformation patterns
• Support analysts in adopting dbt for report-layer development, including onboarding, PR review, and pair programming
• Enable teams to build their own data products: provide patterns, templates, and consultancy so analysts and product teams can develop and own report-layer assets independently
• Define and document reusable metrics, dimensions and business logic in the semantic layer, and capture institutional knowledge including domain assumptions, architectural decisions and data lineage context so it lives in the codebase and not in people's heads
• Participate in cross-team alignment on data model standards, shared definitions and platform evolution, representing the data engineering perspective in decisions that affect multiple domains
  
  

AI-First Engineering

• Review and verify all AI-generated code before submitting for peer review — you own correctness, not the AI
• Maintain machine-readable context files (CLAUDE.md) in repositories you own, capturing architectural constraints, naming conventions, and domain-specific rules for AI agents
• Use AI tooling as a force multiplier: author intent specifications, verify AI-generated outputs with full ownership of correctness, contribute to shared skills and context files, and use automation to raise quality standards across the team
• Build and iterate on Claude agents for scoped engineering tasks (e.g. report-layer model extension, documentation generation, comparison notebooks)
• Orchestrate multi-agent workflows for complex tasks (large-scale migrations, documentation backfills, cross-domain refactors) while verifying outcomes
• Contribute to the team's AI Skill Library: dbt patterns, ingestion templates, data quality check agents
  
  

Job responsibilities

Required

• Advanced SQL: window functions, CTEs, query optimisation, partitioning and clustering, with enough depth to understand execution plans and diagnose performance issues
• Hands-on production experience with dbt across the medallion architecture: models, tests, unit tests, macros, snapshots, YAML documentation and materialisation strategies
• Experience building and operating Airflow DAGs using Python operators, with the ability to design DAG topology deliberately for different pipeline requirements
• Proficiency in Python and shell scripting for pipeline development, ingestion tasks and operational tooling
• Solid understanding of lakehouse concepts and data formats: Delta Lake for ACID-compliant storage, Parquet for columnar efficiency, and Avro for event-driven schema definition
• Ability to work independently: owning tickets from design through delivery, including incident response and backfills
• Ability to gather requirements from non-technical stakeholders, understand consumption patterns, and translate business needs into data models that are accurate, maintainable and cost-effective
• Experience defining and maintaining schema definitions (Avro/ODIN or equivalent schema registry)
• Fluency with AI-assisted development workflows as part of daily practice: authoring intent specifications, verifying and owning AI-generated outputs, and contributing to shared context and tooling so the whole team benefits
• Experience with semantic layer concepts: defining reusable metrics, dimensions, and business logic that serve as a single source of truth across consumers (e.g. dbt Semantic Layer, Looker LookML, or equivalent)
• Spark comprehension at the level needed to understand how Databricks processes dbt models, read execution plans, and diagnose and fix performance issues such as full table scans, merge inefficiencies and file fragmentation
• Engineering fundamentals applied to data work: modularity, idempotency, testability and single responsibility as default practices, not afterthoughts
• Experience treating cost as a first-class constraint: identifying and acting on optimisation opportunities across compute, storage and pipeline design
  
  

Nice to Have

• Experience with Kafka or event-driven ingestion
• Familiarity with Salesforce, Google Ads, Meta, or other marketing/CRM APIs
• Experience with data modelling patterns and when to apply each: dimensional modelling, star schema, wide tables, one big table, slowly changing dimensions, and normalisation vs denormalisation tradeoffs
• Exposure to compliance requirements in data engineering: data classification, retention policies and privacy-aware modelling
• Experience with cost optimisation in cloud data platforms
• Experience orchestrating multi-agent AI workflows for complex engineering tasks
• Contribution to shared AI tooling, skills, or context files in previous roles
  
  

What Makes You a Great Fit

• Proactive by default: you don't wait to be asked. You flag issues before they become incidents, own follow-ups after delivery, and look for ways to improve things beyond the scope of your ticket.
• Generous with knowledge: you enjoy sharing what you know, whether that's through documentation, pair programming, code reviews, or supporting analysts and product teams in adopting the data platform.
• A team builder: you care about the people around you as much as the work. You contribute to a culture where the team gets better together, not just individually.
• An architect of intent, not just a code translator: you define the what and why with precision, use AI to handle the how, and verify that the output actually solves the problem. You understand that AI commoditizes syntax production — your value is in T-shaped thinking that connects business context, data modeling, and technical constraints.
• Quality-first mindset enabled by AI: you treat comprehensive testing, documentation, and data quality checks as non-negotiable — precisely because AI has made them cheap to produce. Low test coverage is no longer a time constraint; it's a choice.
  
  

Job benefits

At Kleinanzeigen, we care about our people — their wellbeing, growth, and life beyond work. Our benefits are designed to support you holistically, giving you flexibility and opportunities to thrive.

✨ Flexibility

• 26 business days of paid annual holidays
• 20 days “work from anywhere”
• Flexible working time (hybrid)
• Paid additional parental leave for both parents
• Extra paid days off for special occasions (e.g. your wedding or a move)
  
  

❤️🩹 Wellbeing & Support

• Private health insurance
• Gym Pass (may cover up to 70% of gym membership fees)
• 40€ per month as a remote working allowance.
  
  

📚 Growth & Development

• Personal development budget
• Learning opportunities to grow your skills and career
• A unique position in an international and dynamic environment
• A flat, collaborative culture where your feedback actively shapes our processes
  
  

🛍️ Perks & Everyday Benefits

• Competitive compensation package (Base salary + annual bonus)
• Flexible Remuneration Program (tax-efficient options for transport, restaurant vouchers and childcare)
• Corporate benefits and exclusive discounts
• An attractive referral program
  
  

Kleinanzeigen is an equal opportunity employer that values diversity and inclusion. We welcome people of all backgrounds, races, religions, colours, national origins, gender identities, sexual orientation, ages, marital status, or disability status.

If this role sparks your interest but you’re not sure you meet every single requirement, we’d still love to hear from you anyway!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 nov.

Teletrabajo . Google Analytics Google Ads Excel SEO

Estamos buscando un o una especialista Paid Media (PPC) para una agencia digital con sede en Madrid.

¿QUÉ SE OFRECE?

• Teletrabajo y horario 100% flexible.
• Contrato de 37,5h/semana.
• Horario de verano intensivo en julio y agosto.
• Salario de 23.000 euros/brutos anuales en función de la experiencia aportada al puesto.
  
  

REQUISITOS MÍNIMOS

• Titulación universitaria o FP, en curso o finalizada, en Marketing, Publicidad o Tecnologías.
• Experiencia mínima de 2 años demostrable en Google Ads, Meta Ads, Google Analytics (GA4), Google Tag Manager y Looker Studio.
• Experiencia en el sector educativo, con optimización a matrícula y seguimiento en CRM.
  
  

REQUISITOS VALORABLES

• Certificaciones de Google Ads u otras certificaciones.
• Conocimiento de automatizaciones, secuencias y scripts.
• Experiencia en ClickUp, Excel.
  
  

¿QUÉ FUNCIONES REALIZARÁS?

• Definir con cada cliente los objetivos y la estrategia de marketing digital a partir del briefing.
• Planificar los medios y gestionar presupuestos, incluidos grandes presupuestos y campañas nacionales e internacionales.
• Crear, configurar y optimizar campañas en Google Ads (Search, Shopping, Discovery, PMax, Display y YouTube), Meta, TikTok, LinkedIn, Bing y Amazon Ads, programática y nativa.
• Realizar setups completos: Google Tag Manager, etiquetas y eventos, píxeles de conversión, funnels, públicos y agrupaciones de contenido, trabajando con GA4.
• Ajustar y mejorar Google Merchant Center.
• Optimizar campañas de ecommerce y captación de leads por rentabilidad (CPL, CPA, ROI y ROAS) y, en educación, a matrícula.
• Redactar los anuncios y las creatividades.
• Analizar resultados, elaborar informes en Looker Studio y encargarte del reporting y la relación con el cliente.
• Coordinarte puntualmente con otros departamentos como SEO o diseño.
• Redactar artículos de blog siguiendo los criterios establecidos.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 nov.

Publicidad en Internet Marketing digital Google Analytics Negociación Publicidad Google Ads Administración de la cadena de suministro Estrategia de marketing Gestión operativa Medios de comunicación social

GESTOR/A COMERCIAL – SECTOR BANCARIO

¿Tienes experiencia comercial en banca y buscas un nuevo reto profesional? ¡Esta oportunidad puede interesarte!

Desde Valora Asociados estamos seleccionando un/a Gestor/a Comercial para una entidad financiera consolidada, que apuesta por la cercanía, la atención personalizada y el desarrollo profesional de sus empleados.

Funciones principales:

• Gestión y fidelización de una cartera de clientes.
• Captación de nuevos clientes y generación de oportunidades de negocio.
• Asesoramiento y comercialización de productos y servicios financieros.
• Identificación de las necesidades de los clientes, ofreciendo soluciones personalizadas.
• Seguimiento y cumplimiento de los objetivos comerciales.

Requisitos:

• Experiencia mínima de 1 año en el sector bancario, desempeñando funciones comerciales.
• Formación universitaria en ADE, Economía, Empresariales o similar.
• Conocimiento de productos y servicios financieros.
• Habilidades comerciales, orientación a resultados y vocación de servicio al cliente.
• Se valorarán certificaciones MiFID II y LCCI, así como formación especializada en banca.

¿Qué ofrecemos?

• Incorporación a una entidad financiera sólida y consolidada.
• Estabilidad laboral y posibilidades de crecimiento profesional.
• Retribución fija más variable en función de objetivos.
• 31 días de vacaciones.
• Medidas de flexibilidad laboral.
• Formación continua y desarrollo profesional.
• Beneficios sociales: plan de pensiones, condiciones financieras preferentes, descuentos en seguros y retribución flexible.

¿Te interesa?

¡Queremos conocerte!

Puedes inscribirte directamente en esta oferta o enviarme tu CV actualizado a:

📩 [email protected]

En Valora Asociados estamos comprometidos con la igualdad de oportunidades y la no discriminación. Valoramos todas las candidaturas en función de sus competencias, experiencia y adecuación al puesto, garantizando un proceso de selección inclusivo y transparente.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 nov.

. Google Analytics Google Ads SEO

We are a People First company! 😊

Êtes-vous passionné par la communication, la publicité et le référencement naturel (SEO)? Nous recherchons un spécialiste dont le français est la langue maternelle et qui a le souci de la cohérence et de la clarté.

Si vous écrivez parfaitement le français, aimez travailler en équipe, avez une attitude positive, prenez des initiatives, êtes désireux d'apprendre et de partager vos connaissances, et êtes motivé par la croissance professionnelle, vous êtes notre candidat(e) idéal(e)!

Gestion des contenus & Email Marketing

• Planifier, coordonner et optimiser la production de contenus éditoriaux pour garantir une couverture pertinente et engageante de l’actualité.
• Gérer le calendrier de publication et la diffusion des articles, newsletters et contenus multimédias sur les différentes plateformes.
• Développer et optimiser les campagnes d’email marketing, en segmentant l’audience et en personnalisant les messages pour maximiser l’engagement et le taux d’ouverture.
• Analyser la performance des contenus et des newsletters (taux d’ouverture, taux de clics, engagement, conversions) et proposer des ajustements pour améliorer les résultats.
• Collaborer avec les journalistes, rédacteurs et équipes techniques pour garantir une diffusion fluide et efficace des contenus sur le site et via les newsletters.
  
  

SEO & acquisition organique

• Piloter l’optimisation on-page et off-page : structuration des contenus (balises, maillage interne, rich snippets), optimisation technique en collaboration avec les développeurs, netlinking et link building.
• Réaliser des audits SEO, analyser la SERP et identifier les opportunités de mots-clés (search intent, longue traîne, entités sémantiques).
• Améliorer l’UX writing et l’architecture de l’information pour favoriser l’indexation et l’engagement des visiteurs.
• Réviser, traduire et adapter des copys (titres, descriptions, CTA, microcopy) pour garantir leur qualité linguistique et leur pertinence SEO, ainsi que créer et maintenir un glossaire immobilier français de référence, assurant la cohérence terminologique sur l'ensemble des contenus du site.
• Suivre et analyser les KPIs SEO (trafic organique, CTR, dwell time, taux de conversion) via Google Analytics 4, Piano Analytics, Marfeel, Search Console, SEMrush, Ahrefs, Screaming Frog et autres outils spécialisés
  
  

Gestion des campagnes publicitaires

• Création et gestion de campagnes sur Google Ads, Meta Ads, LinkedIn Ads et autres plateformes.
• Définition des objectifs : notoriété, trafic, conversions, leads, etc.
• Ciblage et optimisation : définition du ciblage et optimisation des annonces pour maximiser les résultats.
• Suivi et analyse des performances : surveillance des KPIs, génération de rapports de performance avec recommandations d’optimisation.
• Tests et ajustements : exécution de tests A/B sur les annonces (textes, images, vidéos, landing pages) et ajustement des campagnes en fonction des performances.
• Collaboration : coordination avec les équipes de design et UX pour améliorer l’expérience utilisateur.
• Amélioration des conversions : optimisation des pages d’atterrissage pour augmenter le taux de conversion.
  
  

Un Peu Plus Sur Nous

• Le talent : Si nous sommes arrivés jusqu'ici, c'est parce que nous avons des gens brillants qui travaillent dur sans perdre leur sourire.
• La diversité : Nous aimons l'individualité et le fait que chacun ait son propre parcours.
• Respect et reconnaissance : Si cela vous tient à cœur, vous avez trouvé le bon endroit.
• Transparence : Ce que vous voyez est ce que vous obtenez. Nous n'avons pas de bureaux ni de symboles de statut.
  
  

Voulez-vous être un idealista?

Nous vous attendons 😉

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 nov.

API Google Analytics Google Ads Excel Power BI

• 2+ years of hands-on experience managing Meta Ads campaigns
• Fluent in English

¿Dónde vas a trabajar?

A fast-growing international entertainment group, offering the dynamism of a scale-up combined with the resources of a global market leader in festivals, music and live experience.



We are looking for a Performance Marketing Executive to support the planning, execution and optimisation of paid media campaigns across the Iberian market. This role will play a key part in driving ticket sales for festivals and live events through data-driven digital marketing initiatives.

Descripción

Paid Media Campaign Management

• Build, launch and optimise paid social campaigns, primarily across Meta Ads.
• Manage campaigns on TikTok Ads, Google Ads and Reddit Ads where relevant.
• Execute campaigns across key sales moments:
  • Early Bird sales
  • On-sales
  • Line-up announcements
  • Headliner announcements
  • Price increases
  • Last tickets and urgency campaigns
• Monitor performance daily and optimise campaigns to maximise results.

Budget Management & Planning

• Develop weekly media plans with the Performance Marketing Lead.
• Allocate budgets across prospecting and retargeting activities.
• Monitor spend, pacing and efficiency against targets.
• Track and optimise key metrics including CAC, CPM, CTR and CPL.

Performance Analysis & Optimisation

• Analyse audience, creative, placement and conversion performance.
• Design and execute A/B tests to improve campaign effectiveness.
• Share insights and recommendations with marketing and creative teams.
• Leverage AI tools for reporting, analysis and idea generation.

Tracking & Measurement

• Oversee and validate tracking setup across:
  • Meta Pixel
  • Conversions API
  • Google Analytics 4
  • UTM structures
• Ensure data accuracy between advertising platforms, analytics and ticketing systems.

Reporting

• Prepare weekly performance reports including:
  • Spend
  • Revenue
  • Orders
  • CAC
  • ROAS
  • Recommendations and next steps
• Maintain reporting dashboards and trackers.

CRM Collaboration

• Apply CRM audience exclusions and suppression lists where needed.
• Coordinate with CRM teams to maximise campaign effectiveness and customer journeys.

Tools & Platforms



Paid Media

• Meta Ads Manager
• TikTok Ads Manager
• Google Ads
• Reddit Ads

Analytics & Reporting

• Google Analytics 4
• Google Tag Manager
• Supermetrics
• Looker Studio
• Power BI
• Excel / Google Sheets

Automation & Collaboration

• Smartly
• Braze
• ClickUp
• ChatGPT, Claude and other AI tools

¿A quién buscamos (H/M/D)?

Requirements



Essential

• 2+ years of hands-on experience managing Meta Ads campaigns.
• 2-3 years of experience in Performance Marketing.
• Fluent Spanish and English.
• Strong analytical skills and experience working with Ads Manager, GA4 and Excel.
• Strong understanding of CAC, ROAS, conversion metrics and revenue attribution.

Desirable

• Experience with TikTok Ads, Google Ads and/or Reddit Ads.
• Knowledge of Supermetrics, Looker Studio or Smartly.
• Interest in music, festivals and live entertainment.

Personal Profile

• Hands-on and execution-focused.
• Self-sufficient and proactive.
• Analytical and data-driven.
• Curious and willing to challenge assumptions.
• Adaptable in a fast-changing environment.
• Eager to learn and develop professionally.

Success Metrics

• Drive ticket sales while maintaining CAC targets.
• Improve CAC and ROAS over time.
• Deliver campaigns accurately and on schedule.
• Ensure reliable, actionable and insightful reporting.

¿Cuáles son tus beneficios?

• 23 days of holidays, Fridays working till 15.00 and 1 day working from home ( on Friday).
• Location: Madrid.