Data Engineer & BI Developer

Hays plc
Central Milton Keynes, United Kingdom
5 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 117K

Job location

Remote
Central Milton Keynes, United Kingdom

Tech stack

Azure
Business Intelligence
Cloud Computing
Data Architecture
Information Engineering
ETL
Data Warehousing
IBM Cognos Business Intelligence
Microsoft Software
Performance Tuning
Power BI
Reverse Engineering
SQL Databases
SQL Server Integration Services
Star Schema
Data Pipelines
Databricks

Job description

We're seeking a hands-on Data Engineer & BI Developer to join a major transformation programme. This role combines data-engineering and BI Development - you'll design and optimise data pipelines in Azure/Databricks, build robust data models and deliver advanced reporting in Power BI. You'll also play a key role in migrating Legacy Cognos and DWH estates to the Microsoft stack., Data Engineering

  • Build and maintain data pipelines and Lakehouse architecture in Databricks.
  • Optimise data performance (indexing, partitioning) and troubleshoot complex queries.
  • Automate source data integration for efficiency and scalability.

BI Development

  • Design and deploy Power BI Solutions (including Paginated resources)
  • Develop semantic models, measures, KPIs and CDE's for accurate reporting.
  • Reverse-engineer Cognos logic and implement equivalent solutions in Power BI

Programme Contribution

  • Support the Data Programme's strategic Azure solution design.
  • Refresh and improve Regulatory MI Dashboards
  • Provide cover for Finance and controlling MI reporting as needed.

Requirements

  • Proven experience in MS Azure Cloud Dev/Ops, Data design and Databricks lakehouse architecture.
  • Advanced skills in Power BI (Desktop, Service, Paginated) and SQL (including SSIS)
  • Strong understanding of data modelling (star schema, Medallion architecture) and ETL frameworks
  • Ability to work with ambiguous data sources and deliver solutions in low-maturity data environment.
  • Hands-on experience with Performance Tuning and optimisation techniques.

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