Enterprise Data Engineer

Anglian Water

Lincoln, United Kingdom
Base: circa £42k; bonus: bonus scheme available; b...
2 days onsite
3-5 years data engineering experience
Cloud platform experience (azure)
Data modelling expertise
Anglian Water is seeking an Enterprise Data Engineer to join their expanding team, focusing on modern data engineering and business intelligence capabilities. The ideal candidate will have strong experience in data engineering, particularly with cloud platforms, and be comfortable working in an Agile environment. The position offers a competitive salary, flexible working arrangements, and a range of benefits

Job Summary

  • The role involves acting as a T-shaped professional capable of delivering robust data solutions across multiple disciplines including batch pipelines and semantic models.
  • Candidates must have strong experience with cloud platforms like Azure, specifically utilizing tools such as Databricks, Azure Data Factory, Spark, Python, and SQL.
  • Employees are entitled to benefits including personal private health care, 26 days annual leave, and a pension scheme where Anglian Water double-matches contributions up to 6%.

Matching Summary

Match Score: 85

Anglian Water is seeking an Enterprise Data Engineer to join their expanding team, focusing on modern data engineering and business intelligence capabilities. The ideal candidate will have strong experience in data engineering, particularly with cloud platforms, and be comfortable working in an Agile environment. The position offers a competitive salary, flexible working arrangements, and a range of benefits.

Salary

Base: Circa £42k; Bonus: Bonus scheme available; Benefits: Personal private health care, 26 days annual leave, Pension double-match up to 6%

Skills & Requirements

Must-have

  • 3-5 years data engineering experience
  • Cloud platform experience (Azure)
  • Data modelling expertise
  • Agile/Scrum environment experience
  • Python, SQL, Spark, Databricks skills

Nice-to-have

  • Power BI knowledge beneficial
  • Leadership within squad model
  • Coaching new team members
  • Product lifecycle management knowledge
  • Continuous improvement mindset

Key Requirements

  • 3–5 years previous data engineering experience
  • Experience in dimensional and/or lakehouse data modelling
  • Knowledge of Azure DevOps or similar tools

Work Rights

Not specified

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