Madrid, Comunidad de Madrid, España
Onsite
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 PT Digital & Operational Excellence (PTE) organization works in partnership across major global business functions, establishing and implementing an overall Digital / Technology strategy. Our goal is to drive the delivery and scale of key data and digital solutions in support of Roche’s vision.
As a Senior Data Engineer at Roche PT, you will play a pivotal role in developing and optimizing the data infrastructure that powers our pharmaceutical operations and data products. Working in multidisciplinary teams—alongside data scientists, subject matter experts, and fellow data engineers—you'll curate, transform, and construct features integral to our modeling approaches. This role calls for a collaborative, open-minded individual who values learning, thoughtfully challenges ideas, and prioritizes impactful work.
Design & Build Infrastructure: Design and build scalable data pipelines and storage solutions for real-time and batch processing, aligning them with Subject Matter Expert (SME) needs.
Lead FAIR Data Product Creation: Lead the creation of FAIR (Findable, Accessible, Interoperable, Reusable) data products that enhance decision-making and maintain data integrity, availability, and performance across platforms.
Data Acquisition & Processing: Acquire, ingest, and process data from diverse sources into Big Data platforms (e.g., Snowflake).
Model Data Landscapes: Collaborate with process experts to model data landscapes, obtain extracts, define secure exchange methods, and shape data products, developing ERDs and reusable pipelines.
Mentor & Coach: Coach junior data engineers, helping implement best practices and data engineering standards, and fostering a culture of innovation (DevOps, Data Streaming, etc.).
Governance & Compliance: Uphold data governance standards to ensure regulatory compliance and secure sensitive data, addressing data quality issues to maintain asset accuracy and reliability.
Technical Stewardship: Contribute to templates and best practices for the technology stack, collaborate with infrastructure teams, and apply innovative techniques to deliver impact.
Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Core Experience: 6+ years in data engineering with experience in designing large-scale systems and experience in leading junior data engineers across projects.
Technical Skills: Proficiency with data quality and observability tools, including Ataccama and Monte Carlo.
Communication & Collaboration: Proven ability to clearly communicate complex solutions to audiences of varied technical levels; strong organizational and interpersonal skills; and a drive to collaborate and prioritize impactful work.
Preferred Qualifications: 3+ years of experience in the pharmaceutical or healthcare industry, knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems, and experience with AI-driven data solutions and machine learning pipelines.
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.
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