Base: circa £42k dependent on skills; bonus: bonus...
2 days onsite
3-5 years data engineering experience
Cloud platforms azure databricks spark
Python sql and data modelling skills
Anglian Water is seeking an Enterprise Data Engineer with extensive experience in modern data engineering, particularly with cloud platforms like Azure. The role emphasizes teamwork in an Agile environment and involves designing data solutions, developing data pipelines, and ensuring high-quality automated testing
Job Summary
The role involves acting as a T-shaped professional capable of working across multiple technical and non-technical disciplines to deliver robust data solutions.
Employees are entitled to a pension scheme where Anglian Water double-matches contributions up to 6% along with personal private health care.
The position requires designing secure corporate data solutions and building automated test frameworks to ensure high test coverage and quality.
Matching Summary
Match Score: 85
Anglian Water is seeking an Enterprise Data Engineer with extensive experience in modern data engineering, particularly with cloud platforms like Azure. The role emphasizes teamwork in an Agile environment and involves designing data solutions, developing data pipelines, and ensuring high-quality automated testing.
Salary
Base: Circa £42k dependent on skills; Bonus: Bonus scheme available; Benefits: 26 days annual leave rising with service; Pension double-match up to 6%; Private health care included
Skills & Requirements
Must-have
3-5 years data engineering experience
Cloud platforms Azure Databricks Spark
Python SQL and data modelling skills
Agile Scrum environment experience
End-to-end data solution delivery
Nice-to-have
Power BI knowledge beneficial
Azure DevOps tool understanding
Team leadership and coaching ability
Product lifecycle management knowledge
Semantic layer development experience
Key Requirements
3-5 years previous strong experience in data engineering
Experience delivering end-to-end data solutions from requirements to production
Strong background in dimensional and lakehouse data modelling patterns