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- Tasks: Lead the development of innovative data products and optimise data pipelines.
- Company: Dynamic financial services firm with a focus on data-driven decision-making.
- Benefits: Hybrid working, 25 days holiday, private medical insurance, and more.
- Why this job: Make a real impact in shaping the future of data in finance.
- Qualifications: Experience in Databricks, SQL, and leading teams.
- Other info: Collaborative environment with opportunities for mentorship and growth.
The predicted salary is between 48000 - 72000 £ per year.
London Bridge (Hybrid – 2 days a week in-office)
We’re looking for an experienced Senior Data Engineer to join a high-impact product team shaping the future of data-driven decisioning in financial services. You’ll help build a modern analytics and reporting platform that showcases the performance of advanced valuation models and mortgage operations products. Your work will directly enable lenders to automate more property risk decisions, driving operational efficiency and delivering a better customer experience across the mortgage journey. This is a chance to influence technology choices, design scalable data products, and lead by example in a collaborative, forward-thinking environment.
What you’ll do
- Lead and influence technical decisions that support commercial goals
- Build and optimise data pipelines and lakehouse architecture
- Deliver high-quality, maintainable, and testable code
- Champion best practices through code reviews and mentorship
- Partner closely with Product, Analytics, Security, and Engineering teams
- Translate complex technical concepts for non-technical stakeholders
- Create data products that are stable, scalable, secure, accurate, and observable
What you’ll bring
- Experience leading teams and owning outcomes
- Strong skills in Databricks, Delta Lake, and lakehouse architectures
- Expertise in Pandas, SQL, and PySpark
- Deep understanding of ETL and performance optimisation
- Knowledge of Azure networking (VNets, Private Endpoints, secure connectivity)
- Familiarity with PowerBI, Tableau, Metabase, or similar tools
- A passion for building data products that truly serve customers
You’ll thrive here if you:
- Love collaborating and mentoring others
- Constantly look for ways to raise the bar
- Enjoy learning new tools and technologies
- Stay focused on solving real customer problems
Benefits:
- Hybrid & flexible working
- 25 days’ holiday + extra days with service
- Volunteering day & Digital Detox day
- Christmas to New Year closure
- Cycle to Work & electric car schemes
- Free Calm app membership
- Enhanced parental leave & fertility treatment support
- Private medical insurance & income protection
Senior Data Engineer in Manchester employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Databricks, Delta Lake, and ETL processes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've led teams and influenced decisions in past roles. Practice explaining complex concepts in simple terms – it’s key for collaborating with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in Databricks, Delta Lake, and any relevant projects you've led. We want to see how you can influence technical decisions and build scalable data products!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your experience aligns with our mission at StudySmarter. Don’t forget to mention your collaborative spirit and mentoring experience!
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in Pandas, SQL, and PySpark. We’re looking for someone who can deliver high-quality code and optimise data pipelines, so give us examples of how you've done this in the past.
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Delta Lake, and lakehouse architectures. Brush up on your skills with Pandas, SQL, and PySpark, as these will likely come up during technical discussions. Being able to demonstrate your expertise will show that you’re the right fit for the role.
✨Showcase Your Leadership Skills
Since this position involves leading teams and influencing technical decisions, be prepared to share examples of how you've successfully led projects or mentored others. Highlighting your experience in guiding teams towards achieving commercial goals will resonate well with the interviewers.
✨Prepare for Cross-Functional Collaboration
This role requires partnering closely with various teams like Product, Analytics, and Security. Think of specific instances where you’ve worked collaboratively across departments. Being able to communicate complex technical concepts to non-technical stakeholders is key, so practice explaining your past projects in simple terms.
✨Demonstrate Your Passion for Data Products
Express your enthusiasm for building data products that serve customers effectively. Share any personal projects or experiences that showcase your commitment to creating stable, scalable, and secure data solutions. This will help convey your alignment with the company’s mission and values.
