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Senior Data Engineer

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Description

Senior Data Engineer Azure, Power BI, ADF, Synapse

Salary: £60,000£70,000 + excellent benefits
Location: Birmingham or London (12 days per month in office)
Employment: Full time

Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power BI reporting.
This is a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric.

The Role

As Senior Data Engineer, you will:

  • Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines.
  • Develop scalable Synapse Analytics data models and performance-optimised SQL workloads.
  • Own and enhance Power BI datasets, semantic models, and reporting standards (major focus).
  • Shape cloud data architecture across Azure Data Lake and Synapse environments.
  • Play a key role in the organisations transition to Microsoft Fabric.
  • Implement robust data quality, validation, and monitoring frameworks.
  • Work closely with business and technology stakeholders to deliver high-value data solutions.
  • Mentor junior data engineers and support engineering standards.
  • Contribute to Agile delivery through Azure DevOps and CI/CD practices.

Key Skills & Experience

Essential:

  • Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning.
  • Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation).
  • Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures.
  • Deep proficiency in SQL development and optimisation.
  • Solid understanding of Azure Data Lake and cloud storage layers.
  • Proven track record delivering Azure-based data engineering solutions.
  • Strong communication and stakeholder engagement.
  • Demonstrated mentoring or technical leadership experience.

Desirable:

  • Exposure to Microsoft Fabric.
  • Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning.
  • Experience working in financial services or another regulated industry.

Why Apply?

  • Senior, high-responsibility role with architectural influence.
  • Modern Azure stack with Fabric adoption underway.
  • Strong progression, visibility, and business impact.
  • Flexible hybrid model: only 1-2 office days per month.

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
  • Company bonus 8%

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →