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0Canonical
Engineering Director - Commercial Systems
Canonical · Salamanca, ES
Teletrabajo . Java Python Linux Cloud Coumputing IoT Go
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an Engineering Director, who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The Billing team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems.
The Contracts team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system.
The Livepatch team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches.
Location: This role will be based remotely in the EMEA region.
The role entails
- Leading multiple teams of engineers, ranging from graduates to seniors
- Developing your engineering managers to maintain Canonical culture in their teams
- Developing and evangelize great engineering practices and processes in the teams
- Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
- Identifying and measuring indicators of team health, and take action where needed
- Being accountable for the product development roadmaps in the teams
- Being an active part of the Commercial Systems leadership team, collaborating with other leaders
- Expanding your teams by hiring great talent
- Collaborating with stakeholders and product users
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
- Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations
- Track record of going above-and-beyond expectations to achieve outstanding results
- Professional written and spoken English with excellent presentation skills
- Result-oriented, with a personal drive to meet commitments
- Ability to travel internationally twice a year, for company events up to two weeks long
- Performance engineering and DevOps/SRE experience
- Experience with accounting, sales, sales operations, or other business roles
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. 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
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Program
- Opportunity to travel to new locations to meet colleagues
- Priority Pass, and travel upgrades for long haul company events
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. 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.
Senior Software Engineer
NuevaQuoIntelligence
Senior Software Engineer
QuoIntelligence · Madrid, ES
Teletrabajo . React API Python TSQL REST TypeScript SaaS LESS
The OpportunityMercury is QuoIntelligence's Threat Intelligence platform: it processes over 2 billion signals, tracks 400+ threat actors, and delivers finished intelligence to security teams across financial services, energy, and government in Europe. You will join a four-person engineering team, working directly with the engineering lead on Mercury and Agent Karla, an AI-powered threat analyst that runs on the Mercury engine.
You will ship new features and pay down tech debt in the same week. The team treats clean, maintainable code as a prerequisite, not a nice-to-have. If you want to build a product where what you ship reaches real users quickly, where you will shape how the engineering team works as it grows, and where the domain is genuinely interesting, keep reading.
What You'll Do
- Design, build, and ship backend services in Python: REST APIs, web services, data processing. This is roughly 60% of your time. The APIs serve both internal teams and external clients, so performance and reliability matter.
- Build and maintain basic frontend features in React and TypeScript. You will work across the full stack, not just behind the API layer.
- Write and maintain tests at every level: unit, integration, end-to-end (Playwright or similar). Testing is a first-class concern, not an afterthought.
- Own CI/CD pipelines, code quality tooling, and static analysis. You will have direct influence over how the team ships code.
- Work with data: SQL queries, data modeling, domain modeling, and visualization. Mercury processes threat intelligence data; understanding how to query and present it well is part of the job.
- Collaborate across teams. The top priority for this hire is someone who asks for help when stuck, proactively helps others, and communicates clearly with non-engineering stakeholders.
This role is not about casually using AI for convenience. It is about using AI to materially increase speed, leanness, and impact. You know how to turn AI into engineering leverage, shorten delivery cycles, and focus your time on the highest-value problems.
We also expect strong judgment. As a cybersecurity company, we move fast, but we do not use AI blindly. You understand the risks of AI-assisted and agentic coding, know how to validate important outputs, and apply pragmatic safeguards where they matter most.
The best candidates do more than use AI well themselves. They help re-engineer how the team works by building repeatable workflows, lightweight standards, and better tooling that make everyone faster. They can coach teammates who are less familiar with agentic coding, and act as positive drivers of AI adoption across the engineering team and beyond.
What You'll BringMust-haves:
- AI-assisted development: you actively use AI tools (e.g. Cursor) in your daily workflow and can evaluate their output critically
- Strong Python backend experience: you have designed and shipped production APIs, web services, and data processing systems
- Working familiarity in React and TypeScript: you can build and maintain basic frontend features, not just read them
- Solid testing discipline: unit, integration, and e2e testing are part of how you work, not something you add when asked
- CI/CD and code quality tooling experience: you have set up or maintained pipelines and care about keeping them healthy
- Data proficiency: SQL, data modeling, and enough comfort with data analysis and visualization to work with intelligence data
- Clean code habits: you produce code that the next person/agent can read, maintain, and extend. You keep things simple.
- Go or additional programming languages
- UX and design principles knowledge
Month 2: You own a significant feature end-to-end, from API design through React UI to Playwright tests. You have started reshaping something: the CI pipeline, the test strategy, a slow endpoint, the way the team reviews code. Your commits are changing how the product works, not just adding to it.
Month 3: An engineering practice or system that you built is now part of the team's workflow. You are the go-to person for at least one area of the codebase.
What We Offer
- Full ownership from day one. Four engineers, not forty-seven. Everything you ship is visible in the product.
- Interesting domain. Unified Risk Intelligence solution with an AI-agentic product for enterprise clients across Europe, not another generic SaaS dashboard. Mercury processes 2B+ signals and turns them into understandable risks; Agent Karla is a multilingual AI threat analyst built on top of it.
- Remote with autonomy. Small team, low bureaucracy, high trust. Based in Italy or Spain.
- Shape the engineering culture. As the team grows, your practices and decisions become the foundation.
- AI-native workflow. Cursor is the standard tool. AI is part of the daily work, not an experiment.
Do I need cybersecurity experience? No. The domain is interesting, and you will learn it on the job. What matters is strong engineering fundamentals and the ability to pick up new domains quickly. Several QI engineers came from outside of cybersecurity.
What is the tech stack? Python (backend), React/TypeScript (frontend), Playwright (e2e testing). The product is Mercury, a SaaS intelligence platform, and Agent Karla, a conversational agent (based on an agentic infrastructure). Data pipelines and ML tooling are built by adjacent teams.
The Process
- Recruiter Interview
- AI Fluency Interview
- Team Interview
- Live Coding
- Offer
Product Pulse
Barcelona, ES
Project Manager - Software Development
Product Pulse · Barcelona, ES
. Python Scrum Angular AWS
Importante consultora de negocios energéticos busca un Project Manager para reforzar la capa de gestión de su equipo de desarrollo.
Se trata de una posición clave dentro del área tecnológica, con base en Barcelona, orientada a asegurar la correcta ejecución de los proyectos, la coordinación del equipo y el desarrollo de las personas.
Misión del rol
La persona que se incorpore reportará directamente al Responsable de IT, actuando como su brazo derecho operativo dentro del equipo de desarrollo.
Mientras el Responsable IT mantiene la visión de producto y la dirección estratégica, este rol tendrá como objetivo garantizar que la ejecución esté alineada con esa visión, asegurando el ritmo, la calidad de la entrega y el buen funcionamiento del equipo desde una perspectiva tanto operativa como humana.
Buscamos un perfil con una fuerte orientación a project management, pero también con sensibilidad y experiencia en la gestión de personas: seguimiento, distribución de cargas de trabajo, acompañamiento, coaching, mentoring y evolución profesional del equipo.
¿Cuáles serán tus tareas?
- Coordinar el día a día del equipo de desarrollo, asegurando foco, alineación y capacidad de ejecución.
- Velar por el cumplimiento de plazos, prioridades y calidad de entrega.
- Actuar como punto de apoyo clave para el Responsable IT en la gestión operativa del área.
- Organizar, dimensionar y equilibrar cargas de trabajo dentro del equipo.
- Realizar el seguimiento continuo de las personas, identificando necesidades, bloqueos y oportunidades de mejora.
- Impulsar conversaciones de seguimiento, feedback y desarrollo profesional.
- Acompañar al equipo desde una visión de coaching y mentoring, promoviendo crecimiento, autonomía y accountability.
- Favorecer una dinámica de trabajo colaborativa, fluida y bien coordinada entre negocio, producto y tecnología.
- Contribuir a mantener una cultura de trabajo cohesionada, eficiente y alineada con los valores de la compañía.
¿Qué buscamos?
- Experiencia previa en posiciones de Project Manager, Delivery Manager, Team Lead o similares dentro de entornos tecnológicos.
- Background trabajando con equipos de desarrollo software.
- Experiencia en coordinación de equipos con foco en ejecución, planificación y seguimiento.
- Alta capacidad para la gestión de personas, incluyendo evaluación, acompañamiento, motivación y desarrollo.
- Perfil con criterio, capacidad organizativa y buena interlocución.
- Mentalidad colaborativa y habilidad para moverse en estructuras poco jerárquicas.
- Capacidad para combinar visión operativa con cercanía al equipo.
Stack tecnológico (valorable)
Aunque no se trata de una posición puramente técnica, la persona estará en contacto con un stack moderno y con equipos que trabajan con tecnologías como:
- AWS
- Python
- Angular
- Soluciones de IA como Gemini y OpenAI
Se valorará especialmente
- Experiencia previa en compañías de producto propio.
- Haber trabajado en entornos con cultura ágil (SCRUM) y equipos multidisciplinares.
- Conocimiento o experiencia en el sector energético.
- Interés por entornos donde la tecnología y la innovación, incluida la inteligencia artificial, tienen peso en la evolución del producto.
Qué te ofrece la compañía
- Incorporación a una empresa líder en España dentro de su sector.
- Proyecto estable en una compañía de producto propio, con impacto real del área tecnológica en el negocio.
- Posición con visibilidad, autonomía y recorrido, en contacto directo con la dirección IT.
- Oportunidad de crecimiento dentro de la compañía.
- Entorno con estructura plana, cultura cercana y alto nivel de colaboración.
- Un equipo donde se valora tanto la ejecución como el cuidado de las personas.
- Flexibilidad y formación continua.
¿Te interesa formar parte de un grupo líder y en crecimiento? Inscríbete y únete al equipo.
Fill in the form, we will contact you...
Mantu
Barcelona, ES
Digital Marketing Intern (Growth focus) F/M/X]
Mantu · Barcelona, ES
. Python
Job Description
You will join our Marketing team and contribute to the development and implementation of growth strategies to support Mantu’s visibility and business development.
Your Missions
- Contribute to the global development of the Growth Marketing strategy in synergy with the Sales teams, in order to maximize opportunities and business alignment
- Manage end-to-end marketing campaigns: targeting, scraping, data enrichment, copywriting, launch, and reporting
- Design and maintain automation workflows to strengthen Marketing & Sales efficiency
- Ensure reliable data and structure processes to optimize collaboration with the Sales department
- Conduct proactive technological monitoring to identify the best innovation opportunities
- Currently enrolled in a higher education program (Marketing, Sales, or Business-related field), seeking an internship
- Experience in Growth, Lead Generation, or Marketing (internship or work-study) is highly desirable
- Fluent in English & French
- Passion for exploring new tools and technologies, especially no-code solutions, automation, AI, and copywriting
- Knowledge in Python is a plus
- Strong analytical mindset, data-driven decision-making, and reporting expertise
- Business-oriented, technically curious, and eager to learn
- Mastering generative AI such as ChatGPT for improving day-to-day productivity
- An international community bringing together 110+ different nationalities
- An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
- A robust training system with our internal Academy and 250+ available modules
- A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
- Strong commitments to CSR notably through participation in our WeCare Together program
Mantu is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Who are we?
Mantu is an independent international consulting player, founded in 2007. Bringing together expert and complementary brands, Mantu stands out for the breadth of its spectrum, responding to all business transformation challenges.
Its activities are divided into four practices:
Leadership & Advocacy, Technology, Brand Strategy & Experiences and Total Talent Management.
A wide range of skills, all serving a single mission: connecting and powering companies with leading teams and technology to succeed faster and sustainably.
From its headquarters in Geneva, Switzerland, Mantu relies on a community of 12,000 talented people in more than 60 countries on 5 continents and has a turnover of 1billion euros.
Clinical Data Analyst
NuevaAnalog Devices
València, ES
Clinical Data Analyst
Analog Devices · València, ES
. Python R MATLAB
About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).
Clinical Data Analyst
Essential Duties And Responsibilities
- Analyze and manage large datasets from diverse sources—including deployed products, clinical studies, patients EMR/EHR, and internal R&D—to support the development of chronic disease management solutions.
- Design and perform rigorous statistical analyses to generate solid insights to support clinical efficacy and benefits of the product
- Produce product quality insights that support quality assurance activities in accordance with medical quality management system procedures.
- Construct data pipelines and engage data cleaning and organization by integrating multiple data streams in collaboration with cross-functional teams to enable efficient analysis at scale.
- Communicate findings effectively to stakeholders through clear, actionable reports and presentations.
- Master’s degree in Statistics, Data Science, Electrical Engineering, Computer Science with biomedical application research, Biomedical Engineering or a related field.
- Strong foundation in data science, statistical methodologies, and hypothesis test design.
- Basic understanding of human systems physiology.
- Familiarity with wearable sensor signals, including bio-potential measurements (e.g., ECG) and audio signals.
- Proficiency in programming languages, basic engineering tools, and statistical tools (e.g., Python, MATLAB, R, and etc.).
- Excellent communication and presentation skills for engaging both external medical professionals and internal multidisciplinary teams.
- Experience in publishing clinical journal articles is a plus
- Experience collaborating with medical professionals / clinicians.
- Ability to thrive in a fast-paced, dynamic work environment.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
Santander
Madrid, ES
Scientist Responsible AI - CDAIO
Santander · Madrid, ES
. Python Machine Learning
IT STARTS HERE
Santander (www.santander.com) is evolving from a high-impact global brand to a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible.
This is more than a strategic shift. It's an opportunity for motivated professionals to grow, learn, and make a real difference.
Our mission is to help people and businesses thrive. As part of the global AI Transformation team, you'll lead and manage strategic AI initiatives that drive impact across global companies and key functions. We are looking for someone who connects business, AI, and technology, ensuring that AI solutions create measurable value.
THE DIFFERENCE YOU MAKE
Santander’s Data & AI Science (DAISci) team is the scientific engine of the bank’s AI transformation. We develop, test, validate, and translate emerging AI methods into products that redefine how the bank learns, decides, and serves customers.
DAISci operates at the intersection of advanced research and real-world impact — translating frontier AI into robust, compliant, and production-ready systems across risk, customer experience, operations, and beyond.
Joining DAISci is a rare opportunity to apply state-of-the-art AI in one of the world’s largest financial institutions, shaping intelligent systems that are not only powerful, but also trusted, transparent, and aligned with societal expectations.
This role will act as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards.
Main Responsibilities:
We are seeking an AI SCIENTIST specializing in RESPONSIBLE AI. You will contribute to the development and operationalization of Santander’s AI principles, working across the different areas of the DAISci group to ensure we build safe, trusted, and responsible AI throughout the full lifecycle of our products — from design to deployment and monitoring.
The role combines scientific research with applied execution, advancing responsible AI methodologies, interpretability techniques, robust frameworks, and alignment strategies, while translating them into scalable, fair, and reliable systems.
You will collaborate closely with engineering, validation, governance, and product teams; contribute to Santander’s research and publication agenda; explore emerging approaches in trustworthy AI; and mentor peers to strengthen the organization’s expertise in responsible and reliable AI systems.
What You'll Bring To The Table
- Advanced degree (PhD or MSc) in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field, with specialization in Responsible AI, trustworthy machine learning, AI safety, fairness, interpretability, or AI governance.
- Proven track record of advancing AI/ML through high-impact research publications, patents, open-source contributions, or transformative product innovations — particularly in areas related to model robustness, fairness, explainability, privacy, or safety.
- Demonstrated ability to translate research into production, operationalizing concepts such as bias detection and mitigation, interpretability techniques (e.g., SHAP, counterfactuals, causal methods), robustness testing, model monitoring, uncertainty estimation, or safety guardrails into scalable and reliable systems.
- Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, DGL, or PyG.
- Deep understanding of responsible AI principles, including fairness metrics, model risk management, explainability techniques, adversarial robustness, privacy-preserving methods, and regulatory alignment (e.g., AI governance frameworks).
- Strong connections with academia and the wider AI research community, a passion for shaping the frontier of responsible AI, ability to shape research agenda.
WE VALUE YOUR IMPACT
Your contribution matters, and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you offer. But we know that rewards go beyond numbers.
- We enable our teams to go further through global opportunities and broad career paths.
- Flexibility that works. Enjoy hybrid work models—some days remote, some days in-person with your team—along with flexible schedules.
- Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (www.santanderopenacademy.com)
- Competitive rewards. Receive a very competitive salary with performance-based bonuses, which motivates you to continue growing with us.
- Economic advantages. Take advantage of preferential banking terms, special interest rates on loans, life insurance, and more.
- Your health is our priority. Through BeHealthy, our global wellness program, we promote holistic wellness.
- We know that family is everything. That's why we offer child care support and family programs tailored to every stage of life.
- Always by your side. Access Santander Contigo, our program for employees and their families that offers legal, emotional and administrative advice services.
- Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal allowance, parking, shuttle service from various points in Madrid, as well as discounts and exclusive offers for Santander employees. And that's just the beginning—we'll tell you more when you join!
We're here to keep you motivated, help you reach your goals, and celebrate your progress every step of the way.
LOCAL COMPLIANCE
Santander is proud to be an organization where there are equal opportunities regardless of age, gender, disability, marital status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.
WHAT TO DO NEXT?
If this sounds like a position you're interested in, apply.
READY TO TAKE THE NEXT STEP ON YOUR JOURNEY?
Trainee Bioinformatician
NuevaAlmirall
Trainee Bioinformatician
Almirall · Sant Feliu de Llobregat, ES
Teletrabajo . Python Agile R
What will you be doing day to day?
- Dive into the analysis of omics datasets (single‑cell and bulk RNA‑seq) to help answer key biological questions.
- Get involved in the development, testing, and benchmarking of new computational methodologies.
- Work with cutting‑edge technologies and emerging AI tools.
- Build knowledge in skin‑related indications that are central to the company’s strategic focus.
- You’re studying or have completed a BSc/MSc in Bioinformatics, Biotechnology, Computational Biology, or a related field. We also welcome candidates from Statistics, Mathematics, or Physics who are passionate about computational biology.
- A solid biological background.
- Experience with scripting languages such as R or Python.
- Strong communication skills and the ability to explain complex analytical concepts clearly.
- A collaborative mindset and comfort working in multidisciplinary teams.
- Fluency in English, both written and spoken.
- An international environment with plenty of opportunities to learn and grow.
- A 12‑month internship contract.
- Subsidized canteen and coffee.
- The option to work remotely 2 days per week.
If you love data, biology, and innovation, you’ll feel right at home here. Ready to join us?
Almirall is seeking a highly motivated intern to join the Computational Biology and Bioinformatics team within the R&D Data Science department. The ideal candidate will be passionate about applying and developing computational tools to analyze omics data and accelerate research discovery programs.
Why work with Almirall?
We are a people-centric company where employees are at their best, patients and customer are at the heart of every decision, and our focus and agility allow us to deliver greater impact for all.
Additionally, for the 17th year in a row, we have been certified as Top Employer Spain, and also Top Employer Germany for the first time.
This strengthens our commitment to create a unique work environment that helps our employees to develop their skills to fullest and grow both professionally and as individuals.
We are delighted to have a great team that is proactive, innovative, and eager to transform the world of people with skin conditions.
We are proud of each one of our employees, their development, and growth: they are the success of the company.
Our purpose
"Transform the patients' world by helping them realize their hopes & dreams for a healthy life".
Our values
- Care: we listen & empathize, we value diverse perspectives & backgrounds and we help each other succeed.
- Courage: we challenge the status quo, we take full ownership and we learn from our success & failures.
- Innovation: we put the patient and customer at the center, we create novel solutions and we empower entrepreneurial mindsets.
- Simplicity: we act decisively and avoid over-analysis, we understand why before we act and we are agile & keep things simple.
#wearealmirall
Jobgether
Engineering Manager - Data Platform
Jobgether · Madrid, ES
Teletrabajo . MySQL Python Agile Cloud Coumputing Kubernetes Go Spark Big Data
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager - Data Platform in Spain.
This role leads a high-performing engineering team focused on building scalable, fault-tolerant data solutions for cloud and on-premise environments. You will be responsible for driving both technical excellence and team development while ensuring delivery of reliable, high-quality data platforms that support mission-critical applications. The role combines hands-on engineering, leadership, and strategic decision-making to optimize performance, reliability, and innovation across Big Data, MySQL, and modern analytics systems. You will collaborate with cross-functional teams, mentor engineers, and implement best practices in software development and operations. Success in this role requires technical depth, strong people management skills, and the ability to foster a collaborative, innovative, and accountable engineering culture.
Accountabilities
- Lead, mentor, and develop a team of engineers, fostering a culture of collaboration, accountability, and technical excellence
- Oversee the design, development, and delivery of scalable data platforms, including Big Data and MySQL solutions
- Contribute directly to code and technical solutions as required, maintaining hands-on engineering involvement
- Set expectations and communicate effectively with senior management, cross-functional teams, and external stakeholders
- Drive adoption of agile methodologies and modern software development practices across the team
- Ensure delivery of high-quality products that meet user needs and operational requirements
- Collaborate with leadership to establish organizational processes, operational frameworks, and engineering best practices
- Strong software engineering background, ideally with Python and Golang experience
- Experience building and operating production-grade data platforms at scale, preferably in Big Data or MySQL environments
- Proven ability to build, mentor, and develop engineering teams with a focus on technical growth and collaboration
- Strong judgment in evaluating people, processes, and technologies, with an open-minded approach to innovation
- Track record of delivering high-quality software with a focus on performance, reliability, and maintainability
- Knowledge of modern cloud, containerized, and distributed system architectures (e.g., Kubernetes)
- Additional experience with Spark, Superset, or other relevant data technologies is a plus
- Familiarity with open-source contributions and collaborative community-driven development
- Competitive base pay with annual compensation reviews and potential performance-based bonuses
- Fully remote working environment with opportunities for global collaboration and biannual in-person events
- Personal learning and development budget of $2,000 per year
- Generous annual holiday leave, parental leave, and employee assistance programs
- Recognition rewards program and career growth opportunities
- Travel benefits, including Priority Pass for long-haul company events
- Flexible working arrangements promoting work-life balance and professional development
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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Vodafone
Specialist Business Analyst
Vodafone · Madrid, ES
Teletrabajo . Python TSQL Cloud Coumputing Power BI
El Specialist Business analyst formará parte del equipo de Business Intelligence, contribuyendo a la generación de insights accionables mediante el análisis de datos, la construcción de modelos analíticos y la creación de visualizaciones que permitan a las unidades de negocio tomar decisiones informadas. Será un rol clave en el business partnering, actuando como puente entre necesidades de negocio de la unidad de empresa y capacidades técnicas.
Responsabilidades Principales
- Análisis y Modelización Explorar y analizar grandes volúmenes de datos para identificar patrones, oportunidades y riesgos. Diseñar modelos descriptivos y analíticos que apoyen decisiones estratégicas. Generar insights que puedan traducirse en acciones concretas para las unidades de negocio
- Desarrollo en Herramientas de BI Construcción y mantenimiento de dashboards en Power pivot, Power BI, Looker o herramientas similares. Asegurar la calidad, consistencia y automatización de los informes. Industrialización de paneles y procesos analíticos para su escalabilidad
- Ingeniería de datos Utilización de herramientas y plataformas cloud, especialmente GCP (BigQuery, Cloud Storage, Looker Studio, etc.) y Business Object. Uso de lenguajes de programación para manipular datos: SQL imprescindible y Python valorable
- Business Partnering Trabajar mano a mano con la unidad de empresa para entender sus necesidades, priorizar entregables y traducir requerimientos en soluciones analíticas. Explicar insights en lenguaje claro a perfiles no técnicos. Asegurar alineamiento continuo con objetivos estratégicos
- Experiencia sólida en análisis de datos (≥2–3 años, ajustable según seniority)
- Dominio de SQL standard (consultas complejas, joins, window functions…)
- Manejo de Power BI y/o Looker (modelos, DAX o LookML, datasets, diseño de dashboards)
- Conocimientos en entornos Google Cloud Platform: BigQuery, Looker, Cloud Functions, etc
- Fuerte orientación analítica y pensamiento crítico
- Capacidad de comunicación clara con perfiles de negocio
- Autonomía, proactividad y habilidad para priorizar
- Curiosidad por entender el negocio y sus palancas
- Capacidad para enfrentarse a bases de datos complejas investigando de manera proactiva nuevas soluciones técnicas
- Capacidad de trabajo en equipo en entornos dinámicos
- Grado en Ingeniería, Matemáticas, Estadística, Economía, Ciencia de Datos o similar
- Formación complementaria en análisis de datos o cloud computing es un plus
🌍 Trabajo flexible: 60% desde casa y 40% desde la oficina, ¡con horario flexible!
🏡 20 días adicionales de teletrabajo: Trabaja desde cualquier punto de España.
🗓️ 25 días de vacaciones: Además, disfruta de los días 24 y 31 de diciembre libres, y tienes la opción de comprar hasta 10 días adicionales.
🍽️ Tickets restaurante: Adicionales a la retribución fija y plan de remuneración flexible.
🩺 Seguro de salud gratuito: Cobertura con Adeslas, seguro de vida y un programa integral de gestión de cuidado de la salud y bienestar, tanto físico como mental.
💰 Opción de plan de pensiones. Asegura tu futuro con nuestras opciones de plan de pensiones.
❤️ 3 día de voluntariado al año: Dedica tiempo a proyectos de voluntariado con estos días adicionales.
🚀 Desarrollo de carrera y formación: Acceso a una plataforma de desarrollo de habilidades basada en Inteligencia Artificial y contenidos de aprendizaje de Skillsoft, MIT Horizon, Harvard y más.
📲 App para la gestión digital. Organiza tu día a día en la oficina de manera sencilla con nuestra app.
Si quieres conocernos mejor, entra en nuestra web y descubre cómo sería la vida trabajando en Vodafone: https://www.vodafone.es/c/conocenos/es/vodafone-espana/trabaja-con-nosotros/