Roche
Healthcare
LeadDataEngineer-Mergers&Acquisitions
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“Lead Data Engineer - Mergers & Acquisitions at Roche. Skills: Data Engineering, Data Architecture, Cloud Data Platforms, SQL, Python, Scalable Data Pipelines, AI/ML Enablement. 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.”
What You'll Achieve.
Maximizing partnership impact through digital and AI-enabled ecosystems to advance the Pharma and DIA Partnering business.; Accelerate decision-making and unlock business value.; Help shape the future of data and AI at Roche by directly supporting key strategic decisions across our global Partnering organization.; Drive high-quality delivery.; Support analytics and AI use cases.; Support LLM and AI-driven workflows.; Help build scalable, real-world data solutions that directly impact Roche’s partnering strategy.; Deliver life-changing healthcare solutions that make a global impact.
Industry & Context.
Troubleshoot, optimize, and improve performance of data workflows and systems.; Profile data, identify quality issues, and align disparate datasets.; Translate business needs into scalable technical solutions.
What They're Looking For.
Must Have
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)., Proficiency in SQL, Python, and advanced data modeling techniques., Experience leading architecture decisions and implementing best practices., Understanding of data quality, integration, transformation, and governance., Excellent communication skills with the ability to influence technical and non-technical stakeholders
Nice to Have
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.
What You'll Do.
and maintain scalable data pipelines to ingest
and curate structured and unstructured data.
Write production-quality code in SQL and Python and actively contribute to day-to-day development.
and improve performance of data workflows and systems.
Provide technical guidance
and mentorship to other data engineers.
develop and oversee development of pipelines to ingest
and curate structured and unstructured data from internal and external sources.
Ensure high performance
and reliability of data systems.
identify quality issues
and align disparate datasets.
Define data models and standardization frameworks to support scalable
and AI/ML-ready data products.
Build and maintain reusable data products and APIs to support analytics and AI use cases.
Ensure solutions are well-documented
Prepare and deliver high-quality datasets for ML and AI use cases.
Support data pipelines for LLM and AI-driven workflows.
Champion data governance
and metadata management practices.
Ensure compliance with enterprise data security and privacy standards.
and event-driven frameworks for data pipelines.
and reliability of data systems.
Lead adoption of containerized and orchestrated data workloads (e.g.
Guide orchestration of complex AI/data workflows using modern tooling.
Identify opportunities to improve tooling
Stay hands-on with new technologies and bring practical improvements to the team.
How You'll Work.
Team & Collaboration
Guiding engineering best practices across the team.; Mentoring other data engineers.; Partnering with business, product, and external stakeholders to align data strategy with organizational goals.; Collaborating with data scientists to prepare and deliver high-quality datasets for ML and AI use cases.; Collaborating with world-class researchers, engineers, and external partners.
Communication Scope
Excellent communication skills with the ability to influence technical and non-technical stakeholders; Open dialogue
Process & Methodology
Leading projects or initiatives., Leading architecture decisions., Implementing best practices., Driving implementation of best practices in data engineering, testing, and deployment., Guiding orchestration of complex AI/data workflows.
Full Job Description
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 productio
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