Data Engineer

Engagement Type: Design and Implementation.

Description: Data Engineer to lead on the development and implementation of data storage solutions and digital data flows.

Minimum Years’ Experience: 3 Years.

Key Skills Required:

  • Accomplished ETL developer with proven experience of delivering complex big data solutions and a track record of working with structured and unstructured data.
  • Extensive working knowledge of data warehouse techniques for dimensional data modelling, relational database design, ETL techniques and data analysis.
  • Knowledge of data architecture concepts/technologies e.g., data warehouse, data lakes, big data.
  • Expert knowledge of data reconciliation, ETL error handling, and error logging mechanisms.

Areas of Responsibility:

  • Develop data validation processes throughout data flow, working with colleagues to ensure their data needs are met, and deliver testing and assurance of data systems.
  • Implement data storage solutions (e.g., data warehousing) for existing digital platforms and any future developments, ensuring solutions are in line with departmental data strategy.
  • Upskill existing team members in order to grow capability and resilience in this area.

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