Lead Data Engineer - Mergers & Acquisitions

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

Lead Data Engineer - Mergers & Acquisitions

About Our Team: Partnering Digital Solutions

Join our Partnering Digital Solutions team, a strategic group focused on maximizing partnership impact through digital and AI-enabled ecosystems to advance the Pharma and DIA Partnering business. We are at the forefront of innovation - building scalable data infrastructure, applying advanced data engineering practices, and integrating cutting-edge external capabilities to accelerate decision-making and unlock business value.

Our work spans across multiple high-impact initiatives, from developing intelligent data products to enabling end-to-end AI workflows. Whether it’s structuring complex data ecosystems or collaborating with external research institutions, this is a unique opportunity to help shape the future of data and AI at Roche by directly supporting key strategic decisions across our global Partnering organization.

Responsibilities

As a Lead Data Engineer, you will act as a hands-on technical leader- designing and building data solutions while guiding engineering best practices across the team. This is a player-coach role, where you will actively contribute to development while mentoring others and driving high-quality delivery.

You will be a pivotal member of our team, responsible for:

Key Responsibilities:

• Hands-on Data Engineering & Delivery:

  • Design, build, and maintain scalable data pipelines to ingest, transform, and curate structured and unstructured data.

  • Write production-quality code in SQL and Python and actively contribute to day-to-day development.

  • Troubleshoot, optimize, and improve performance of data workflows and systems.

• Technical Leadership & Data Architecture Ownership:

  • Lead by example through hands-on contributions to critical projects.

  • Provide technical guidance, code reviews, and mentorship to other data engineers.

  • Help drive implementation of best practices in data engineering, testing, and deployment.

• Design and Build Scalable Data Pipelines:

  • Architect, develop and oversee development of pipelines to ingest, transform, and curate structured and unstructured data from internal and external sources.

  • Ensure high performance, scalability, and reliability of data systems

• Data Profiling, Mapping & Standardization:

  • Profile data, identify quality issues, and align disparate datasets. Define data models and standardization frameworks to support scalable, reusable, and AI/ML-ready data products.

• Data Product Engineering & API Development:

  • Build and maintain reusable data products and APIs to support analytics and AI use cases.

  • Ensure solutions are well-documented, secure, and scalable.

• AI/ML Enablement:

  • Work closely with data scientists to prepare and deliver high-quality datasets for ML and AI use cases.

  • Support data pipelines for LLM and AI-driven workflows.

• Metadata Management & Data Governance:

  • Champion data governance, lineage, and metadata management practices

  • Ensure compliance with enterprise data security and privacy standards.

• Monitoring and Event Frameworks:

  • Implement monitoring, alerting, and event-driven frameworks for data pipelines.

  • Ensure robustness, observability, and reliability of data systems.

• Container and Workflow Orchestration:

  • Lead adoption of containerized and orchestrated data workloads (e.g., Docker, Amazon EKS)

  • Guide orchestration of complex AI/data workflows using modern tooling.

• Cross-functional Collaboration & Influence

  • Partner with business, product, and external stakeholders to align data strategy with organizational goals.

  • Translate business needs into scalable technical solutions.

• Continuous Improvement:

  • Identify opportunities to improve tooling, processes, and performance.

  • Stay hands-on with new technologies and bring practical improvements to the team.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.

• 7+ years of experience in data engineering or similar roles, including experience leading projects or initiatives.

• Proven track record designing and scaling cloud-based data platforms (preferably AWS).

• Strong proficiency in SQL, Python, and advanced data modeling techniques.

• Experience leading architecture decisions and implementing best practices.

• Strong understanding of data quality, integration, transformation, and governance.

• Excellent communication skills with the ability to influence technical and non-technical stakeholders

Preferred Qualifications:

• Experience acting as a technical lead or senior individual contributor on data engineering projects.

• Hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, Athena, etc.).

• Experience supporting AI/ML data pipelines and workflows.

• Familiarity with metadata management and data governance frameworks.

• Experience in healthcare/life sciences or partnering domains.

• Experience working in Agile environments.

Why Join Us?

• Be at the forefront of innovation in AI and emerging technologies.

• Help build scalable, real-world data solutions that directly impact Roche’s partnering strategy

•  Collaborate with world-class researchers, engineers, and external partners.

• Work in a hands-on, impact-driven environment with strong ownership and autonomy.

What you get:

• Salary range 19,000 - 35,400 PLN gross based on the employment contract.

• Annual bonus payment based on your performance (target 20%).

• Dedicated training budget (training, certifications, conferences, diversified career paths etc.).

• Recharge Fridays (2 Fridays off per quarter available).

• Take time Program (up to 3 months of leave to use for any purpose).

• Vacation subsidy available.

• Flex Location (possibility to perform our work from different places in the world for a certain period of time).

• Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).

• Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.

• Stock share purchase additions.

• Yearly sales of company laptops and cars and many more!

Apply directly and join us in shaping the future of healthcare.

#RDT2026

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Compensation & Benefits

The expected salary range for this position, based on the primary location of Warsaw Grafit is 228,900.00 PLN-425,100.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 20% subject to both individual and company performance.

This position also offers an attractive benefits package.

Learn more about how we reward our employees at Roche.

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.