Senior Data Engineer

We are on a mission to make all science open, enabling the research community to develop the solutions we all need to live healthy lives on a healthy planet. As a Senior Data Engineer, you will design, build, and optimize large-scale data pipelines and systems on Azure.

Requirements

• 4–8 years of experience in Data Engineering or related fields.
• Strong expertise in SQL and Apache Spark.
• Proven hands-on experience with Databricks and Delta Lake.
• Experience with BigQuery (nice to have).
• Experience with dbt (for data quality checks).
• Good understanding of Docker and containerized environments.
• Experience with CI/CD pipelines (Azure DevOps).
• Experience with testing data pipelines (e.g., Great Expectations, dbt tests, unit/integration testing in Spark or Python).
• Deep understanding of data engineering principles, data governance, and quality standards.
• Strong problem-solving and analytical skills, with attention to detail.
• Ability to collaborate across teams and communicate with both technical and non-technical stakeholders.
• Leadership and mentoring experience.
• Ability to balance trade-offs and apply judgment in complex technical decisions.

Benefits

• 4 additional wellbeing days in addition to existing annual leave allowance
• Access to learning platforms and dedicated learning & development time
• A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan
• Employees can dedicate three days each year to volunteer
• Additional benefits depending on your location (e.g. pension plan and private medical care)