Data Engineer

Data Engineer (Databricks / AWS) Leeds (Hybrid) Permanent £60,000 - £65,000 + Benefits

Data Engineer needed for a permanent full-time position based in Leeds (Hybrid). Must have strong Databricks and AWS experience.

Hybrid Working Model - primarily working from home with travel to the Leeds office typically once/twice a month. Start ASAP in October/November 2026.

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

• Data Engineer with strong Databricks, AWS, Python, PySpark and 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, 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 + 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.

• Benefits: £60,000 - £65,000 (DOE) + Remote/Hybrid Working + Pension + 22 days holiday + BHs (rising to 25 days) + Death in Service + Health Care Plan.