Data Engineer

Ignite Digital Search Limited
Birmingham, United Kingdom
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 70K

Job location

Birmingham, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Azure
Cloud Storage
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Systems
Performance Tuning
Query Optimization
Power BI
Azure
Azure
SQL Stored Procedures
SQL Databases
Azure
Microsoft Fabric
Data Lake
Azure
GPT

Job description

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., 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 organisation's 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.

Requirements

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.

Benefits & conditions

  • Pension: 7% employer / 5% employee
  • Private Medical Insurance (optical & dental)
  • Flexible hybrid working requiring 1-2 days per month in office
  • Group Income Protection (75% salary)
  • Death in Service (4x salary)
  • Critical Illness Cover (£10k)
  • 25 days holiday rising to 28
  • Company bonus 8%

About the company

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.

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