Ignite Digital
Senior Data Engineer
- Compensation
- £60K–£70K
- Location
- Birmingham, United Kingdom
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Nice to have
- Exposure to Microsoft Fabric.
- Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning.
- Experience working in financial services or another regulated industry.
Full description
Senior Data Engineer Azure, Power BI, ADF, SynapseSalary: £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 & ExperienceEssential:
- 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.