Description
We are seeking a Lead Data Engineer to drive technical direction of data pipeline and data warehouse layers bringing product robustness and maturity. You will lead end-to-end design and delivery of the data platform (pipelines + warehouse layers), primarily using Prefect, Python and SQL.
Key Responsibilities:
- Lead end-to-end design and delivery of the data platform
- Drive platform evolution by standardising patterns, reducing operational overhead, and improving maintainability and reliability
- Ensure continuity and quality during change via release planning, validation strategies, risk management, and clear technical stakeholder communication
- Partner with Product and Engineering to refine requirements, shape delivery plans, and prioritise backlog/work intake
- Raise engineering standards through reviews, quality practices, and responsible AI-assisted engineering
- Collaborate with QA to increase test maturity, coverage, and automation for pipelines and data transformations
- Collaborate with Application and AI/ML leads to integrate data components with the wider product ecosystem
- Lead the data engineering team, coaching engineers and owning work intake and prioritisation
Requirements:
- Extensive hands-on experience in Python development
- Proven experience designing, developing, and maintaining ETL/ELT data pipelines
- Experience in dbt (Data Build Tool) for data transformation, data modelling, testing, documentation, and deployment
- Experience working with Databricks, including data engineering workflows, and optimization of large-scale data pipelines
- Advanced SQL skills with hands-on experience in Microsoft SQL Server, PostgreSQL, or other enterprise RDBMS platforms
- Demonstrated experience building and managing cloud-based data platforms, data warehouses, and Lakehouse architectures
- Experience leading development teams or serving as a senior technical contributor
- Strong understanding of data engineering best practices
- Proven track record of leveraging automation and AI-assisted development tools
- Experience with DevOps practices, including version control, automated testing, CI/CD pipelines, and infrastructure-as-code principles
- Excellent ability to communicate complex technical concepts and business value propositions
- Strong collaboration skills with experience working in agile teams
- High attention to detail and commitment to delivering high-quality solutions
- Exceptional written and verbal communication skills in English
Nice to have:
- Knowledge of medical data standards such as FHIR based data exchange and/or OMOP
- Exposure to healthcare / life sciences / clinical trials / pharmaceutical data
- Master Data Management of ideally medical ontologies
- Data lineage
- Dutch language skills are a plus for local collaboration and accessing local data sources
Opportunities:
- You will be a part of innovation in the medical field, contributing to improved outcomes for healthcare patients and providers
- You will have the opportunity to be responsible for technical communication and preparation in cross-team projects
- You will collaborate with Machine Learning specialists gaining exposure to ML and Natural Language Processing (NLP)
- Medical data is an interesting problem space, both in complexity and in societal value