Senior Data Engineer I
Oxford, Oxfordshire, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Elsevier
BioData Innovation Centre) Amsterdam Oxford Aalborg time type Full time posted on Posted 5 Days Ago job requisition id R98188 About the Team: The Academic Information Systems ( AI S) DataOps team is a shared technology group responsible for building, administering, governing, and setting standards for a growing number of strategic data platforms and services. Our capabilities enable data to be … operational efficiency, reliability, and scalability through improvements in logging, monitoring, and observability. Support platform evolution and data governance by identifying capability gaps, implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for …/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes. Participate actively in Agile delivery, including ceremonies, requirements refinement, and fostering a culture of iterative improvement. Provide thought leadership in the data platform landscape by building well More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: