Data Engineer: Build Scalable Data Pipelines (Hybrid)

Inspire People; Plymouth; Hybrid; GBP 41,000 - 45,000; Full time

Job summary

A government agency is seeking a Data Engineer to support its transformation programmes and develop reliable data systems. This position offers flexibility in location, allowing for hybrid working from Plymouth, Croydon, or Coventry. The ideal candidate will build, maintain, and optimize data pipelines and work collaboratively in agile teams. The role includes benefits like a 29% employer pension contribution and opportunities for personal development. Salary up to £44,400 based on experience and qualifications.

Benefits

Over 29% employer pension contribution

Annual leave of 28.5 days plus 8 public holidays

Flexi-time scheme

Cycle to Work scheme

Qualifications

• Experience in building and maintaining reliable data pipelines.
• Ability to work closely with multidisciplinary teams.

Responsibilities

• Support the design and maintenance of data flows.
• Help re-engineer manual processes into scalable data pipelines.
• Contribute to building data streaming capabilities.

Skills

Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark)

Experience in writing, testing and implementing scripts (e.g. Python, Scala)

Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena)

Communicating technical concepts clearly to both technical and non-technical stakeholders

Profiling data and analysing source systems

Job description

A government agency is seeking a Data Engineer to support its transformation programmes and develop reliable data systems. This position offers flexibility in location, allowing for hybrid working from Plymouth, Croydon, or Coventry. The ideal candidate will build, maintain, and optimize data pipelines and work collaboratively in agile teams. The role includes benefits like a 29% employer pension contribution and opportunities for personal development. Salary up to £44,400 based on experience and qualifications.