Ofertes d'ocupació per a TSQL

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. TSQL

Description

Amazon is seeking an experienced business-oriented Robotics Deployment Engineer to deliver large-scale and highly complex logistic process automation and storage initiatives for the continued expansion of our South Europe (SEU) fulfilment network.

The Deployment Engineer will oversee all aspects of an Amazon Warehouse (Fulfilment Centre, Inbound Cross-Dock, Sortation Centre or Distribution Centre) while focusing on its automation technologies and storage solutions. As a Deployment Engineer you will be responsible for evaluating and delivering state-of-the-art material handling systems and robotic innovations while coordinating internal teams and external contractors in order to effectively launch new automated buildings and conduct expansions in existing sites.

Amazon’s culture encourages an entrepreneurial approach and expects engineers and managers alike to take a high level of ownership in solving complex problems in a fast-paced environment.

The role could be based in London, Barcelona, Berlin, Dusseldorf, Munich or Vercelli with ~50% of time traveling mainly around the country and with potential requirements in the EU.

Key job responsibilities

• Lead evaluation and delivery of large-scale automation technologies, ensuring they are complete, standardized, and ready for global scale.
• Support evaluation and delivery of large-scale automation technologies including conveyance, sortation and robotics systems, often occurring across multiple sites at a time
• Coordinate cross-functional teams including internal stakeholders and external contractors to ensure successful project delivery
• Evaluate and implement state-of-the-art material handling systems and robotic innovations
• Ensure deployment deliverables are delivered on time, within the timeline, and to Amazon's quality standards
• Provide guidance and troubleshooting for complex automation deployments
• Drive continuous improvement initiatives to optimize deployment processes
• Collaborate with product, safety, deployment, quality and vendor teams throughout the project lifecycle
• Travel 50% of time mainly around the country and with potential requirements in the EU.
  
  

A day in the life

You will be interacting daily with a wide variety of functional teams and individuals at all levels of the organization and in multiple time zones. You will conduct multiple weekly meetings with internal teams, stakeholders and vendors to execute deliverables. You’ll be liaising with subject matter experts from across the organization, diving deep in the technologies we deploy; you’ll build on these relationships to refine and improve our processes. No two days will be the same in our fast-moving environment yet you’ll discover endless opportunities to grow along the way as part of a tight-knit and supportive team.

About The Team

Robotics Delivery & Packaging Innovation is a diverse and multi-talented team with a proven track record of overcoming challenging technical problems to deliver Amazon’s leading-edge robotics technologies in its fulfilment, transportation, and delivery network across the world. Our high-performing team blends engineering know-how, problem solving, curiosity, innovation, leadership, and effective communication to deliver positive results for our customers.

Basic Qualifications

• Bachelor's degree
• Experience in planning, scheduling and auditing maintenance activities
• Experience working with CMMS software
• Experience in project/program delivery or deployment execution
• Knowledge of automation technologies, material handling systems and robotics
• Strong problem-solving abilities
• Experience authoring technical documentation, particularly detailed and user-focused Work Instructions or standard operating procedures (SOPs) for field execution
  
  

Preferred Qualifications

• Experience working with and managing third party vendors
• Experience with Six Sigma tools and Lean techniques
• Knowledge of AutoCAD, VBA, and SQL at the intermediate level
• Experience with robotic deployments in warehouse or fulfilment environments
• Experience working and managing external contractors and vendors
• Background in logistics, supply chain or operations
• Experience with Amazon Robotics or similar automation platforms
• Experience delivering training to contractors or third-party teams on-site, ensuring readiness and adherence to deployment standards (e.g., 3PA training)
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon Spain Services, S.L.U. - B76

Job ID: A10435606

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. Python TSQL Cloud Coumputing

Job Title: Expert D&T - Senior Data Modeler (Cross-Domain)

Location: Barcelona, Spain

Join us as a Senior Semantic Data Modeler and help create the data foundations that enable scientific innovation, analytics, and AI across our Research & Development organization. In this role, you will design, govern, and evolve enterprise data models that transform diverse scientific, experimental, laboratory, and operational data into trusted, discoverable, reusable, and AI-ready assets. Working closely with scientists, business stakeholders, data engineers, architects, and governance teams, you will translate complex research and business requirements into clear, scalable, and reusable data structures. You will play a key role in establishing shared business definitions, semantic consistency, and data standards across domains such as Research, Product Development, Formulation, Ingredients, Manufacturing, Supply Chain, and Finance. We are looking for someone with a strong foundation in data modeling, a practical understanding of modern data platforms, and a passion for enabling better decisions through high-quality data. Experience with FAIR data principles and data management in scientific domains is a plus. Success in this role comes from combining technical expertise with curiosity, collaboration, and the ability to bridge scientific, business, and technology discussions. You are building on a green field.

Your Key Responsibilities

• Design and maintain semantic data models across scientific, research, and enterprise business domains. You will work across data domains.
• Partner with scientists and business stakeholders to understand data requirements and translate them into scalable and reusable data structures.
• Define the semantic layer, source-to-target mappings and support data integration, migration, and transformation initiatives across research and enterprise platforms.
• Collaborate with data engineers, architects, and platform teams to implement and operationalize data models in modern cloud and lakehouse environments.
• Apply and help in defining data modeling standards and best practices, including metadata management, semantic consistency, data lineage, and reusable data design.
• Promote data quality, consistency, and governance by establishing common definitions, business rules, and traceability across data products.
• Drive continuous improvement and innovation by simplifying data structures, advancing modeling practices, and enabling analytics, reporting, and AI use cases..
  
  

We offer

• Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen.
• A science led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you'll work on what's next.
• Growth that keeps up with you, you join an industry leader that will develop your expertise and technical depth.
• A culture that lifts you up, with collaborative teams, shared wins, and people who cheer each other on.
• A community where your voice matters, it is essential to serve our customers well.
  
  

You bring

• Bachelor's, Master's, or PhD degree in Data, Computer Science, Informatics, Engineering, Life Sciences, or a related discipline, with relevant experience in data modeling or information management.
• Experience in data modeling, information architecture, metadata management, FAIR data and/or related data management disciplines.
• Hands-on experience in semantic and graph data modeling, including approaches such as Entity Relationship, Dimensional, Data Vault, and Semantic Modeling -triplet stores as well as LPGs.
• Experience working with scientific, research, laboratory, manufacturing, or other complex data-intensive environments, or a strong interest in applying data management practices within these domains.
• Working knowledge of data governance, metadata management, data quality, lineage, and FAIR data principles, with an understanding of how these practices enable trusted and reusable data assets. Experience working with life sciences ontologies.
• Familiarity with modern data platforms and technologies such as Databricks, cloud data platforms, RDF, OWL, JSON, LPGs, Cypher, SPARQL, SQL, Python, lakehouse architectures, data products, AI concepts, prompt engineering and vive coding
• Strong communication, out of the box thinking and stakeholder management skills, with the ability to align scientists, business teams, engineers, and architects around a common data language and operating model.
  
  

About Dsm-firmenich

At dsm-firmenich, we don’t just meet expectations – we go beyond them.

Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.

From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.

And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.

Because real progress only happens when we go beyond, together.

Inclusion, belonging and equal opportunity statement

At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.

We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.

We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.

And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.

Agency statement

We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.

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. Python TSQL R SEM

Cuando dos marcas pujan por la misma búsqueda, ¿ha crecido el negocio o el gasto simplemente ha pasado de un bolsillo a otro?

Esa es la pregunta que serás responsable de contestar. Un marketplace internacional con varias marcas y presencia en muchos mercados busca un/a Lead Data Analyst para responderla con experimentos y métodos causales, y convertir las respuestas en decisiones sobre millones en inversión en búsqueda de pago.

Qué harás

• Demostrar qué es realmente incremental: diseñar y analizar experimentos geo-split, de canal y multimarca
• Guiar la inversión: modelar retornos marginales, LTV y payback entre marcas, y ayudar a los responsables de SEM a decidir dónde va el siguiente euro
• Separar la señal de la atribución: conciliar los datos de las plataformas con la medición interna y crear dashboards en los que todos confíen
• Marcar la agenda: ser dueño/a de la hoja de ruta de analítica SEM y el interlocutor de referencia para SEM, Finanzas y Data Science
• Subir el listón: mentorizar a analistas y revisar su SQL y sus métodos. Es un rol senior de contribuidor individual, sin reportes directos pero con influencia real

Qué aportas

• 6 años o más en analítica, con ejemplos de análisis que cambiaron una decisión de negocio
• SQL avanzado, y Python o R para trabajo estadístico
• Experiencia práctica en A/B testing y diseño de experimentos (un plus si has usado inferencia causal o geo-experimentos y sabes dónde fallan)
• Soltura para liderar grandes proyectos analíticos y presentarlos a perfiles no técnicos
• Inglés avanzado (IMPRESCINDIBLE)

Suma: analítica de marketing o de búsqueda de pago (CAC, ROAS, LTV), marketplaces, negocios multimarca, MMM y dbt.

¿No vienes de paid search? Apúntate igualmente. Si eres un/a analista de experimentación con buen nivel en producto, pricing o growth, quieren conocerte.

Qué ofrecen

• 61.000–75.000 €
• Plan de incentivos a largo plazo (pago en efectivo ligado al rendimiento de la empresa)
• Plan de pensiones y seguro médico privado
• 25 días de vacaciones y horario flexible
• Ayuda para comida y retribución flexible (transporte, guardería)
• Gimnasio y presupuesto anual de bienestar
• Híbrido: oficina los lunes y los jueves, el resto lo decides tú

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. Python TSQL Azure Scrum Linux Ansible OpenShift DevOps Agile

Una de las empresas con las que colaboramos en Joppy busca un/a DevOps Engineer para su equipo de Operaciones. Un entorno ágil, con ownership, colaboración y mejora continua.

Modalidad de trabajo: HÍBRIDA en Madrid o Barcelona (2 días/semana en oficina).

Qué harás

• Diseñar y gobernar pipelines CI/CD con GitLab CI y Argo CD
• Mantener plantillas de automatización con Ansible y Ansible Automation Platform
• Impulsar la estrategia DevOps y la estandarización de herramientas entre equipos
• Desarrollar prácticas DevOps asistidas por IA
• Gestionar recursos de aplicación en OpenShift (configmaps, secrets, accesos)
• Apoyar release management y operaciones sobre Azure

Qué buscan

• +4 años de experiencia en DevOps y plataforma
• Hands-on con GitLab CI, Argo CD y Ansible
• Experiencia con OpenShift, Azure y SQL
• Linux y Python básico para automatización
• Inglés C1 (IMPRESCINDIBLE, siendo el inglés el idioma global de trabajo en la compañía)
• Titulación en Informática o afín

➕ Plus: Grafana, ELK, Prometheus, Airflow

Qué ofrecen

• Salario muy competitivo en función de experiencia aportada
• Modelo de trabajo flexible
• Formación continua y desarrollo profesional
• Metodologías ágiles (Scrum, design thinking)

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. TSQL Jenkins Git SOA REST Jira Spring Microservices SQL Server

Buscamos programadores/as con experiencia en SISnet para un importante cliente del sector asegurador.

📍 Ubicación: Madrid (zona Avenida de América)

🏠 Modalidad: Híbrida, 2-3 días presenciales en oficina.

💰 Salario: Hasta 55.000 € brutos anuales.

📄 Contrato: Indefinido directamente con consultora tecnológica.

🕒 Jornada intensiva en agosto.

Requisitos imprescindibles

• Ingeniería Informática, Ingeniería del Software o similar.
• Al menos 5 años de experiencia en diseño y desarrollo de aplicaciones.
• Experiencia con SISnet (prioritaria).
• Experiencia en proyectos del sector seguros, especialmente en Siniestros y Prestaciones.
• Conocimientos de arquitecturas REST, SOA y microservicios.
• Experiencia con Spring 3.0.
• Bases de datos DB2 y SQL Server.
• Integración de soluciones de negocio y servicios web.
• Patrones de diseño y frameworks de desarrollo.
• Herramientas: Git, Bitbucket, JIRA y Jenkins.

Se valorará

• Experiencia con UNIX/AIX y Windows.
• Integraciones ETL, preferiblemente DataStage.
• Frameworks de movilidad y diseño adaptativo.

¿Qué ofrecemos?

• Contrato indefinido.
• Salario de hasta 55.000 € brutos anuales negociables.
• Modelo híbrido: 2-3 días de oficina.
• Jornada intensiva en agosto.
• Proyecto estable en el sector asegurador.

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. MySQL TSQL Azure Linux Cloud Coumputing SQL Server

Desde HAYS buscamos incorporar un/a Responsable de Sistemas y Transformación Digital que lidere la gestión tecnológica de la organización y contribuya activamente al impulso de proyectos de transformación digital, datos e inteligencia artificial. Ubicación: A 15 minutos de Bilbao.

Dependiendo de la Dirección de Personas y Sistemas, la persona incorporada será responsable de la gestión y administración de los sistemas de la organización (infraestructuras, redes, ciberseguridad, aplicaciones y soporte), así como del impulso de iniciativas de transformación digital, proyectos de datos e IA y mejora tecnológica continua.

Buscamos una persona comprometida, proactiva, innovadora, con capacidad de trabajo en equipo, orientación a negocio y una sólida visión técnica para tomar y ejecutar las mejores decisiones tecnológicas para la organización.

Principales responsabilidades

Organización y gestión de IT

• Diseño, ejecución y seguimiento del Plan de Sistemas y su presupuesto.
• Definición e implantación de políticas de seguridad y gobierno IT.
• Gestión de arquitectura, configuraciones, aplicaciones, integraciones y procedimientos.
• Gestión de proveedores tecnológicos y procesos de contratación.
• Monitorización de sistemas mediante Zabbix y análisis de incidencias.
• Identificación de sinergias e integraciones entre herramientas.
• Desarrollo de planes de continuidad tecnológica y recuperación ante desastres.

Infraestructuras y sistemas

• Gestión y administración de servidores físicos y virtuales.
• Administración de aplicaciones, software y puestos de trabajo.
• Gestión del inventario tecnológico y del ciclo de vida de los activos

Redes y comunicaciones

• Gestión y monitorización de servicios WiFi, voz, VPN y DNS.
• Coordinación y supervisión de proveedores tecnológicos

Ciberseguridad

• Definición e implantación de políticas de seguridad.
• Gestión de copias de seguridad y protocolos de acceso.
• Diseño y ejecución del plan integral de ciberseguridad.
• Monitorización y gestión de incidencias de seguridad.

Soporte a usuarios

• Coordinación y resolución de incidencias con apoyo de soporte externo mediante herramienta iTop.

Datos e Inteligencia Artificial

• Participación en el Comité de IA.
• Diseño y ejecución de proyectos de datos e IA.
• Asesoramiento técnico a las diferentes unidades de la organización

Transformación digital y proyectos corporativos

• Análisis de necesidades y consultoría funcional.
• Evaluación y selección de nuevas herramientas tecnológicas.
• Apoyo técnico en pliegos y valoración de ofertas.
• Supervisión técnica de desarrollos y pruebas.
• Liderazgo de proyectos de digitalización y mejora corporativa

Requisitos

• Titulación universitaria superior, preferiblemente en Ingeniería Informática, Telecomunicaciones o similar.
• Se valorará formación de máster especializado.
• Dominio de euskera e inglés.
• Alto nivel en gestión y analítica de datos

Conocimientos técnicos

Se valorará especialmente experiencia acreditada en:

• Microsoft 365.
• Microsoft Entra ID.
• Microsoft Intune.
• Microsoft Security Suite (EASM, Security, Sentinel, entre otras).
• Sistemas operativos Windows y Linux.
• Virtualización Hyper-V.
• Redes y firewalls Fortinet y Aruba.
• Bases de datos SQL Server y MySQL.
• Entornos Cloud Azure.
• NAS Synology.
• Conocimientos de Inteligencia Artificial y Ciberseguridad.

Experiencia

• Experiencia mínima de 4-5 años como Responsable de Sistemas.
• Diseño e implantación de planes de sistemas.
• Participación en proyectos de transformación digital.
• Consultoría funcional orientada a negocio.
• Liderazgo de proyectos de digitalización.
• Gestión de infraestructuras, redes y puestos de trabajo.
• Definición e implantación de políticas de seguridad.
• Gestión de proveedores tecnológicos.

Competencias clave

• Orientación a resultados.
• Trabajo en equipo y colaboración.
• Proactividad e iniciativa.
• Visión de negocio.
• Innovación.
• Rigurosidad.
• Capacidad de planificación.
• Habilidades de comunicación.

Si quieres formar parte de una organización referente en innovación y contribuir activamente a su evolución tecnológica y digital, estaremos encantados de conocerte.

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. TSQL

Description

At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. The goal of Amazon Transportation network is to build a world class middle and last mile operation, exceeding the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and cost effectively as possible. STEP Linehaul Middle Mile team within EU Trans S&OP organization is looking for a customer focused, analytically and technically skilled senior Inventory Planner/Program Manager to join our team. Within this role, you will be responsible for driving change and improvements across the organization whilst always thinking about the bigger picture. You are pioneering new ways of thinking to deliver our mission for optimized customer speed and delivery accuracy, at the planned cost. Collaborating with a wide range of stakeholders across the business, you will continuously be scoping out new solutions for ambiguous challenges. You will conduct your own research and analysis, always with an eye on the long-term vision of the business and the maximization of our customer experience. This is your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon operations and transportation.

We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate. This role acts as the linking point between Technical and business Teams, to build an accurate demand plan for Middle Mile operators. This role will form a business partnership with first and middle mile Tech and business ensuring smooth planning cycles and improving the quality of the forecast.

Basic Qualifications

• Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering/Economics
• Experience working with databases and SQL
  
  

Preferred Qualifications

• Master's degree, or Master's degree in management, business administration, economics, engineering, marketing
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon EU SARL (Spain Branch)

Job ID: A10506612

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. Python TSQL Docker REST AWS Fintech Machine Learning

Una de las empresas con las que colaboramos en Joppy, una fintech referente en soluciones de circulante para pymes (factoring, financiación de proveedores, préstamos y automatización de pagos), busca un/a Data & ML Engineer con mentalidad de producto.

Tu misión será llevar a producción los modelos de riesgo de crédito y fraude del equipo de Data Science y convertirlos en servicios robustos y escalables que permitan tomar decisiones de crédito en tiempo real. No buscan prototipos, sino sistemas reales.

🎯 Qué harás

• Ser responsable del ciclo de vida completo de ML: feature engineering, entrenamiento y reentrenamiento, versionado con MLflow y monitorización de drift.
• Construir APIs internas que expongan scoring, señales de riesgo y variables de underwriting.
• Modelar los datos de nuevos productos de crédito desde cero, con pipelines end-to-end.
• Desplegar en AWS con Docker y orquestar procesos batch con Airflow.
• Trabajar mano a mano con Data Science, Ingeniería y los equipos de Riesgos y Underwriting.

🛠️ Qué buscamos

• Al menos 3 años llevando soluciones de Data Science a producción.
• Python limpio y testeable, con FastAPI, SQLAlchemy y Pydantic.
• Experiencia construyendo APIs REST: validación, patrones asíncronos y OpenAPI.
• SQL y modelado de datos sólidos: diseño de esquemas, índices y optimización de consultas.
• AWS (S3, RDS, EC2, Lambda, IAM) y Docker.
• Autonomía y ownership para llevar un problema desde su definición hasta producción.
• Fluidez en inglés (idioma en el que hablamos a nivel interno)

🤗 Qué ofrecen

• Contrato indefinido y un salario de 55.000 € a 75.000 € brutos anuales.
• Modelo híbrido: 3 días en la oficina de Barcelona y 2 en remoto.
• Retribución flexible con Coverflex y seguro médico con Sanitas subvencionado al 30%.
• Urban Sports Club subvencionado y clases gratuitas de inglés o castellano.
• Un equipo pequeño e internacional, con jerarquía plana.

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Teletreball . Python TSQL Cloud Coumputing AWS Office

About The Role

At ClickHouse, we believe in making product decisions grounded in data, not gut feelings. To support that, we've built a comprehensive internal data warehouse — read more about it on our blog. It powers analytics, forecasting, and decision-making across every team in the company.

Our stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions. We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency - a standard that demands highly optimized, rock-solid transformation pipelines.

We're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization.

Key Responsibilities

• DWH Platform Development
• Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture.
• Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns.
• Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale.
• Team contributions
• Conduct thorough code reviews for team members and other team contributors.
• Actively participate in technical and architectural design discussions.
• Drive technical leadership in specific areas of our stack.
• Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows.
• Contribute to platform stability through proactive troubleshooting and timely incident resolution.
• Data modeling
• Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices.
• Mentor and support contributors through code reviews and technical guidance.
• Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic.
  

Qualifications

Required:

• Exceptional SQL skills - this is non-negotiable.
• Strong hands-on experience with Airflow, dbt, and Python.
• Proven track record building and optimizing large-scale, high-throughput data pipelines.
• Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality.
• Bachelor's degree in Computer Science or a related field.
• Comfortable thriving in a fast-paced startup environment — exciting and dynamic, but sometimes wonderfully chaotic.
  
  

Preferred

• Hands-on experience with ClickHouse - a significant advantage.
• Familiarity with AWS or other cloud platforms.
• Experience with CI/CD development, especially using GitHub Actions.
  
  

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
• Healthcare - Employer contributions towards your healthcare.
• Equity in the company - Every new eligible team member who joins our company receives equity.
• Time off - Flexible time off in the US, generous entitlement in other countries.
• A USD$500 Home office setup if you’re a remote employee.
• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
  
  

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.