At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position We are the core engineering engine for the Data Stores area. Our mission is to accelerate Roche's Data and AI journey by delivering cutting-edge, scalable database platforms and robust ecosystem and automation capabilities. We don't just store data; we build the intelligent, self-driving data foundations that power federated data consumption.

As an IT Data Engineer, you will own and optimize core enterprise data systems, driving the architecture and strategy for reliable data pipelines and full-stack infrastructure. You will independently lead initiatives to modernize our platforms, ensure high availability, and deliver scalable, AI-ready data solutions.

Job Responsibilities

Scope / (Content Leadership): Architects and optimizes scalable data pipelines and ETL/ELT frameworks. Leads the maintenance and evolution of complex data infrastructure

Accountability/Problem Solving: Independently identifies, analyzes, and resolves complex data flow and system performance issues, proactively preventing operational bottlenecks

Stakeholder Management: Collaborates with cross-functional stakeholders to define data strategy,



ensuring alignment with general data standards and business objectives

Impact/Strategy: Leads key strategic initiatives and high-impact projects, driving technical innovation across the data product line

Complexity / (Product Size): Engineers and manages robust, high-volume datasets and complex pipelines, ensuring resilience, integrity, and performance of critical data systems

Business / Technical ability: Demonstrates mastery of SQL, Linux, and industrial-grade ETL/ELT tooling, leveraging cloud-native services and AI-driven platforms to scale our data engineering capabilities

Qualifications Education / Experience

A bachelor's degree in Computer Science or equivalent working experience

Experience with infrastructure technologies like Windows Server, Red Hat Enterprise Linux, VMware vSphere/Nutanix Acropolis, Backup and Recovery systems, and Relational and non-relational databases

Proven experience and mastery in executing complex technical tasks

Knowledge of Agile Frameworks (SAFe) and continuous improvement methodologies would be a plus

Proficient in English, and if you speak Spanish, that's even better!

Knowledge of cloud platforms (AWS, Azure, GCP)

Technical Skills





Basic knowledge of SQL, Linux, and standard ETL tools, such as Talend, Apache Airflow, and PySpark

Growing proficiency in a programming language such as: Pandas, Polars, Prefect, PySpark...; Required: Python

Preferred: reporting tools

Familiarity with cloud services, AWS, Azure and GCP, Big Data platforms, and foundational data warehousing concepts

Basic knowledge of Docker containers

A reporting tool such as Tableau, Power BI, or ThoughtSpot

Software Development Life Cycle best practices

Additional Qualifications

Strong collaborative skills, with the ability to work effectively with internal technical teams to ensure continuous data availability

Expertise in optimizing data storage solutions and troubleshooting complex data flow issues independently

AI Code Assistance

Demonstrated customer & delivery focus

Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let's build a healthier future, together.

Roche is an Equal Opportunity Employer. #J-18808-Ljbffr

📌 Data Engineer - RHE - Data and Platform Engineer (Madrid)
🏢 Roche
📍 Madrid