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.