Data Engineer

Ignite Digital

Greater London

On-site

GBP 50,000 - 55,000

Full time

14 days+
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Benefits offered by this job

Pension: 7% employer / 5% employee
Private Medical Insurance (optical & dental)
Group Income Protection (75% salary)
Death in Service (4x salary)
Critical Illness Cover (£10k)
25 days holiday rising to 28
8% Company bonus

Job summary

A leading and growing UK financial services company is seeking a Data Engineer to build Power BI reporting solutions and develop its Azure data platform. Responsibilities include building dashboards, developing ETL pipelines, and collaborating with stakeholders. The ideal candidate will have strong experience in Power BI, Azure Data Factory, and SQL. This position offers an attractive salary of £50,000-£55,000 and excellent benefits, with only 12 office days required per month.

Qualifications

  • 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.
  • 2+ years experience in a Data Engineering or BI Development role.

Responsibilities

  • Build and maintain Power BI dashboards, reports, and data models using DAX and Power Query.
  • Develop and maintain Azure Data Factory ETL/ELT pipelines.
  • Work with Azure Synapse Analytics on modelling, optimisation, and BI-ready datasets.
  • Write and optimise SQL queries for reporting, analysis, and data preparation.

Skills

Power BI
Azure Data Factory
Azure Synapse
SQL
Git
Azure DevOps

Job description

Data Engineer Power BI, Azure Data Factory, Synapse

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 queriesfor 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
Essential
  • 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.
Desirable
  • 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 monthrequired in the office.
Benefits
  • Pension: 7% employer / 5% employee
  • Private Medical Insurance (optical & dental)
  • Group Income Protection (75% salary)
  • Death in Service (4x salary)
  • Critical Illness Cover (£10k)
  • 25 days holiday rising to 28
  • 8% Company bonus
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