Senior Staff Data Engineer
Boehringer Ingelheim3 months ago
United Kingdom (city not specified)Staff+
Responsibilities
- Set the technical direction, strategy and roadmap for data engineering aligned with AI Accelerator priorities.
- Own and evolve the AI Accelerator’s layered data architecture, feature and embedding provisioning patterns, and harmonised multimodal data foundation.
- Establish standards and practices for data quality, testing, CI/CD for data, reproducibility, data contracts, metadata management and dataset versioning.
- Lead hands-on solutions to complex data engineering challenges involving genomics, transcriptomics, imaging, clinical and real-world datasets.
- Partner with Data Excellence and IT on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations.
- Coach, mentor, onboard and technically lead data engineers while serving as the senior escalation point for complex data engineering issues.
Requirements
- PhD or MSc and equivalent experience in a STEM subject.
- Extensive senior-staff-level experience in data engineering, including architecture, standards, technical direction, mentoring and engineering principles.
- Deep expertise in large-scale data engineering, distributed processing frameworks, pipeline orchestration, cloud data platforms and data integration at scale.
- Experience integrating internal and third-party datasets and working with external data providers and technology partners.
- Strong understanding of biomedical and healthcare data, including genomics, transcriptomics, multi-omics, imaging, clinical data, electronic health records or real-world data.
- Understanding of machine learning data requirements, including versioning, reproducibility and tensor-based workflows for large-scale AI systems.
- Practical experience with data governance, metadata management, lineage, provenance, ontologies, cataloguing and FAIR principles.
- Familiarity with Trusted Research Environments and controlled-access research data environments.
- Strong collaboration, influencing and communication skills across technical and non-technical stakeholders.
Benefits
- Hybrid work arrangement with approximately four days per week in the office.
- Employment with a company recognised as a Top Employer in the UK, with supportive people practices and HR policies.
Categories
Data Engineering
About Boehringer Ingelheim
Boehringer Ingelheim develops and manufactures prescription medicines for humans and animal health products, and provides biopharmaceutical contract manufacturing services. The family-owned company was founded in 1885 and is headquartered in Ingelheim am Rhein, Germany. Its portfolio spans areas such as cardiovascular and metabolic diseases, respiratory disorders, oncology, and vaccines for livestock and companion animals, with products marketed globally.