Data Engineer (Databricks)

Data Engineer (Databricks)

Leeds (Hybrid)

6 Month Contract

£(Apply online only)/day (Inside IR35)

Data Engineer needed with strong hands-on Databricks, PySpark, AWS, SQL + Python experience.

6 Month Contract based in Leeds (Hybrid). Start ASAP in October 2026.

Hybrid Working Model - primarily working from home with travel to the Leeds office 1-2 days per month.

A chance to work with a leading global IT transformation on a large-scale Government project:

Data Engineer with strong Databricks, AWS, Python, PySpark + SQL skills.

Hands-on Data Engineer to run + maintain production data pipelines on Databricks and AWS.

Keeping scheduled data processing reliable, resolve incidents, fixes + improving data services performance.

The role combines L2/L3 production support and Data Engineering tasks.

Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver / executor logs, Spark UI + performance troubleshooting.

Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation.

Experience of Spark SQL, Delta Lake, Parquet + Hive metastore tables, including schemas, partitions and the relationship between table metadata and underlying files.

Hands-on AWS experience, particularly S3, IAM and CloudWatch, with an understanding of role-based access, KMS encryption and diagnosing data access failures.

Owning incidents from investigation through recovery and closure. Diagnosing issues in Python, PySpark, SQL, Databricks jobs and AWS integrations + providing clear progress updates and timely escalation.

Working knowledge of Git, code reviews, CI/CD and controlled production deployments, including testing, rollback and release validation.

Advantageous: AWS Glue, Lambda, Step Functions, Linux, Shell Scripts, Terraform, Gitlab, Jenkins

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