At a Glance
- Tasks: Build and refactor data pipelines in Databricks, shaping a modern data platform.
- Company: Join a forward-thinking financial services firm focused on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team moving towards cutting-edge technology.
- Why this job: Take ownership of impactful projects and influence technical decisions.
- Qualifications: Strong Databricks experience and proven pipeline development skills required.
The predicted salary is between 60000 - 80000 € per year.
Are you a senior data engineer who builds pipelines, not just transforms data within them? This is a contract role for someone who wants genuine ownership of a modern data platform - not ticket-taker work, but real engineering: designing pipelines, refactoring architecture, and shaping how a Databricks-first platform evolves in a regulated financial services environment.
What you’ll be doing:
- Building and refactoring data pipelines in Databricks (this is the core platform — Synapse is out)
- Contributing to data warehouse design using dimensional modelling
- Working across the full Azure data stack — ADF, ADLS, and beyond
- Collaborating with analysts and architects to solve real business problems
- Helping build team resilience and engineering capability
What the tech stack looks like:
- Databricks (primary — strong experience essential)
- PySpark / Spark SQL
- CI/CD with Azure DevOps
- Dimensional modelling / Kimball methodology
What you’ll need:
- Strong, demonstrable Databricks experience - hands‑on, not theoretical
- Proven pipeline development skills - you set up pipelines, you don’t just work inside them
- Experience with PySpark / Spark SQL
- Background in medallion architecture and data warehouse design
- Comfortable in an Agile, CI/CD environment
Why this one is worth a look:
This isn’t a body‑shop contract. You’ll be joining at a senior level, working on a platform that’s actively evolving, with real scope to influence technical decisions. The team is moving away from legacy tooling and leaning into Databricks — so if that’s where your strengths are, you’ll be in your element from day one.
Senior Data Engineer - Financial Services in Swindon employer: Data Science Talent
Join a forward-thinking financial services firm that values innovation and technical excellence. As a Senior Data Engineer, you'll enjoy a collaborative work culture that encourages ownership and creativity, with ample opportunities for professional growth in a dynamic environment. Located in a vibrant area, the company offers competitive benefits and a commitment to employee development, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Financial Services in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for a Senior Data Engineer role. Personal recommendations can make all the difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects, especially those involving Databricks and PySpark. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of dimensional modelling and medallion architecture. Be ready to discuss how you've tackled real business problems in the past — they want to see your hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you who are eager to take ownership of their work. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer - Financial Services in Swindon
Some tips for your application 🫡
Show Off Your Databricks Skills:Make sure to highlight your hands-on experience with Databricks in your application. We want to see how you've built and refactored data pipelines, so don’t hold back on the details!
Demonstrate Pipeline Development Expertise:We’re looking for someone who can set up pipelines, not just work within them. Share specific examples of your pipeline development skills and any challenges you’ve overcome in your previous roles.
Talk About Team Collaboration:Collaboration is key for us! Mention how you've worked with analysts and architects to solve real business problems. We love seeing how you contribute to team resilience and engineering capability.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to get your application and ensure it reaches the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Data Science Talent
✨Showcase Your Pipeline Mastery
Make sure to highlight your hands-on experience with building and refactoring data pipelines in Databricks. Prepare specific examples of projects where you’ve designed pipelines from scratch, as this will demonstrate your genuine ownership and engineering skills.
✨Know Your Tech Stack Inside Out
Familiarise yourself with the full Azure data stack, especially ADF and ADLS. Be ready to discuss how you've used these tools in past roles, and think about how they integrate with Databricks. This knowledge will show that you’re not just a user but someone who understands the architecture.
✨Emphasise Collaboration Skills
Since the role involves working closely with analysts and architects, prepare to discuss how you’ve collaborated in previous projects. Share examples of how you’ve solved complex business problems as part of a team, showcasing your ability to build resilience and capability within a group.
✨Be Agile and CI/CD Savvy
Brush up on your Agile methodologies and CI/CD practices. Be prepared to talk about how you’ve implemented these in your work, particularly in relation to pipeline development. This will reassure them that you can thrive in their evolving environment.
