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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, flexible working, and generous holiday allowance.
- Why this job: Shape modern cloud-based data platforms and make a real impact in a high-responsibility role.
- Qualifications: Advanced Power BI and Azure Data Factory expertise, strong SQL development skills.
- Other info: Flexible hybrid model with only 12 office days per month and excellent career progression.
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 12 office days per month.
Benefits
- 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%
Senior Data Engineer employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get that interview, don’t just talk about your experience—show it! Bring examples of your work, like dashboards you've built in Power BI or ADF pipelines you've optimised. Let your skills do the talking!
✨Ask Smart Questions
During interviews, ask insightful questions about the company’s data strategy or their use of Azure technologies. This shows you're genuinely interested and helps you gauge if it's the right fit for you.
✨Apply Through Our Website
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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer
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: Be specific about your technical expertise in Azure Data Factory, Synapse, and SQL. We’re looking for someone who can hit the ground running, so highlight any relevant projects or achievements that demonstrate your capabilities.
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. Don’t miss out!
How to prepare for a job interview at Ignite Digital
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory, Power BI, and Synapse skills. Be ready to discuss specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, prepare examples of how you've led teams or projects in the past. Highlight your ability to communicate complex ideas clearly and how you've contributed to a collaborative environment.
✨Understand the Business Context
Research the financial services industry and understand how data engineering impacts business decisions. Be prepared to discuss how your work can drive value for the company and improve their data solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data architecture, the transition to Microsoft Fabric, and how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
