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For Companies At a Glance
- Tasks: Lead the design and optimisation of Azure data solutions and Power BI reporting.
- Company: Join a leading UK financial services company with a focus on innovation.
- Benefits: Competitive salary, private medical insurance, generous holiday, and a company bonus.
- Why this job: Shape modern cloud-based data platforms and make a real impact in your role.
- Qualifications: Advanced Power BI and Azure Data Factory expertise required.
- Other info: Flexible hybrid work model with strong career progression opportunities.
The predicted salary is between 60000 - 70000 £ per year.
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
- 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%
Senior Data Engineer in Birmingham employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in Azure and Power BI. We recommend doing mock interviews with friends or using online resources to get comfortable with common questions and scenarios.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of your expertise in Azure Data Factory and Synapse, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the data engineering space.
We think you need these skills to ace Senior Data Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Power BI, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills: Since this is a Senior Data Engineer role, make sure to highlight your expertise in ADF, Synapse, and SQL. We’re looking for someone who can lead and innovate, so don’t hold back on your achievements in these areas.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Ignite Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Data Factory, Synapse, and Power BI. Brush up on your ETL pipeline design and SQL optimisation skills. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be expected to mentor others. Prepare examples of how you've led teams or projects in the past. Highlight your experience in guiding junior engineers and how you’ve contributed to engineering standards.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how data solutions can drive business value. Be prepared to discuss how your technical skills can solve real-world problems for the company and improve their data architecture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles, particularly around data quality and performance tuning. Practice articulating your thought process and the steps you took to overcome these challenges.
