Back
Remote mid-level data engineering role with broad, common skill requirements increases applicant density.
Core data engineering skills transfer well, though NHS/Delphi specifics moderately reduce portability.
Multiple explicit years requirements and mandatory SQL/BigQuery skills create rigid shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support and maintain complex data ingestion pipelines and business-critical data platform calculating dentist pay.
Proactively identify and resolve data issues, improve observability, and handle production and customer support in a heavily customised distributed environment.
Contribute to tactical improvements in engineering processes, source control (GitHub Enterprise), and CI/CD practices in a Kanban team setting.
5+ years experience in data engineering with data pipelines and ingestion, preferably with GCP BigQuery, Airflow, and Cloud Composer or equivalent cloud platforms.
5+ years experience with SQL Server and T-SQL, including stored procedures and Common Table Expressions (CTEs).
2+ years experience with GCP tooling (BigQuery, Airflow, Cloud Composer) or Azure Data Factory or equivalent data integration platforms.
2+ years experience with Azure (SQL Azure, Azure Functions, Azure DevOps) or equivalent AWS/GCP hosting experience.
Experienced in maintaining and enhancing large-scale, highly customised, brownfield data platforms with critical production impact.
Comfortable working independently to solve ambiguous production issues, while collaborating within a Kanban team environment.
Skilled in tactical process improvements including CI/CD and source control integration within legacy and distributed data engineering environments.