Data Engineer

Data Engineer

Ignite Digital | Birmingham, ENG, GB

Posted 20 days ago

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Description

Overview

Salary: £50,000–£55,000 + excellent benefits

Location: Birmingham or London (12 days per month in office)

Employment: Full time

A leading and growing UK financial services company is seeking a Data Engineer to build Power BI reporting solutions and support the development of its Azure data platform.

This is an excellent opportunity for a mid-level engineer looking to deepen their Azure Data Factory, Synapse, and SQL experience while contributing to enterprise-wide MI and analytics.

The Role

You will:

  • Build and maintain Power BI dashboards, reports, and data models using DAX and Power Query (key focus).
  • Develop and maintain Azure Data Factory ETL/ELT pipelines.
  • Work with Azure Synapse Analytics on modelling, optimisation, and BI-ready datasets.
  • Support early adoption and migration to Microsoft Fabric.
  • Write and optimise SQL queries for reporting, analysis, and data preparation.
  • Collaborate with analysts, senior engineers, and business stakeholders.
  • Contribute to data quality, documentation, and continuous improvement.
  • Operate within Agile delivery using Azure DevOps and Git.

Key Skills & Experience

  • Strong experience developing Power BI reports, dashboards, and data models.
  • Hands-on expertise with Azure Data Factory ETL pipelines.
  • Working knowledge of Azure Synapse modelling and performance tuning.
  • Good SQL skills for analytics and optimisation.
  • Understanding of Azure Data Lake structures.
  • Experience using Git and Azure DevOps in Agile teams.
  • 24 years experience in a Data Engineering or BI Development role.
  • Exposure to Microsoft Fabric.
  • Experience in cloud-based BI/MI environments.
  • Experience working in financial services or another regulated industry.

Why Apply?

  • High-impact role combining data engineering and BI development.
  • Fast-growing financial services environment with strong investment in data.
  • Career progression within a modern Azure data ecosystem.
  • Only 12 days per month required in the office.
  • Private Medical Insurance (optical & dental)
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