Senior AI/ML Data Engineer

About the role

The Senior AI/ML Data Engineer owns the production pipelines that turn unstructured text and documents into reliable, model-ready data for the company's Generative AI and NLP applications and services. The role focuses on data products built from licensed scientific literature, patents and clinical trials, supporting use cases from early-stage research to post-market surveillance. It sits in a cross-disciplinary team of data scientists, bioinformaticians and engineers working on drug discovery and development.

Key responsibilities

• Build and run production pipelines that turn unstructured text into data products, and drive the technical execution of complex data initiatives
• Partner with stakeholders to clarify requirements and check them for assumptions, feasibility, consistency and completeness
• Shape data engineering practices, including pipeline design patterns, data modeling conventions, schema governance and resource optimization
• Write technical specifications weighing architectural options, trade-offs and risks
• Embed automated validation checks, dataset versioning and pipeline monitoring, and establish data lineage
• Maintain pipelines through upgrades, refactoring and technical debt reduction
• Coordinate with upstream providers and downstream consumers on data contracts and validation datasets
• Work with the MLOps team to turn experimental ML pipelines into production workflows
• Integrate coding agents into workflows, such as automated pipeline-failure triage, with human oversight
• Mentor colleagues, write documentation and onboarding materials

Required profile

• 5+ years of professional experience in data engineering
• 3+ years building and operating production-scale data pipelines with Python, SQL and Spark (or similar)
• Experience with workflow orchestration and CI/CD tools (e.g. Airflow, GitHub Actions)
• Experience processing semi-structured or unstructured text data (XML, JSON, scanned documents) in production

What we offer

• Hybrid working model and flexible role pattern
• Competitive salary and incentive pay, pension and health insurance contributions
• 5 weeks annual leave, 5 sick days and 15 days of certified sick leave paid above statutory requirements
• 40 paid hours annually for volunteering and 12 weeks of parental contribution
• Tax-free cafeteria benefits, multisport card, Vodafone, bank and food delivery discounts, parking, showers and refreshments
• Professional growth through learning platforms, conferences and communities of practice