At a Glance
- Tasks: Build and scale a modern data platform using Databricks and Snowflake.
- Company: Join a leading FinTech company transforming data infrastructure.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team environment with mentorship opportunities for junior engineers.
- Why this job: Make a real impact in financial services with cutting-edge technology.
- Qualifications: Experience in data pipelines, Python, and cloud-based platforms required.
The predicted salary is between 70000 - 90000 £ per year.
We’re looking for a Senior Data/Software Engineer to help build and scale a modern, configuration-led data platform leveraging Databricks and Snowflake. The platform is designed to enable non-technical users to define and manage complex regulatory logic, while ensuring data remains scalable, traceable, and fit for client-facing use. This role sits within a key phase of infrastructure transformation, as the business transitions from legacy Python-based processes and MySQL databases to a more scalable cloud-native architecture. The systems underpin critical reporting workflows for financial institutions, where accuracy, transparency, and reliability are essential.
You’ll be expected to produce high-quality, maintainable, and well-tested code, while also contributing to the technical direction of the team and supporting more junior engineers.
Key Responsibilities- Develop and enhance a configuration-driven data platform using Databricks and Snowflake
- Build, maintain, and optimise data pipelines using Python, PySpark, and streaming technologies
- Ensure data pipelines are robust, traceable, and compliant, with strong lineage and fault tolerance
- Implement and maintain data quality frameworks, including validation, monitoring, and alerting
- Optimise performance across distributed data processing and warehouse environments
- Work closely with product, engineering, DevOps, and regulatory stakeholders to translate requirements into scalable solutions
- Support and guide junior team members, contributing to overall team capability and delivery
- Continuously improve development standards, tooling, and engineering practices
- Proven experience building scalable and auditable data pipelines in regulated or high-integrity environments
- Strong proficiency in Python and PySpark
- Advanced SQL skills, including working with large and complex datasets
- Solid understanding of data modelling and warehouse design principles
- Experience working with modern cloud-based data platforms and orchestration tools
- Ability to interpret and translate complex regulatory or business requirements into technical solutions
- Comfortable working independently with ownership of key systems and deliverables
- Exposure to event-driven architectures (e.g. Kafka or similar tools)
- Experience with AWS cloud environments
- Track record of building new data platforms or transforming legacy systems
- Background in financial services or FinTech
Senior Data Engineer – FinTech Data Platform employer: Volition
Join a forward-thinking FinTech company that prioritises innovation and employee development. With a collaborative work culture, we offer extensive growth opportunities and the chance to work on cutting-edge technologies like Databricks and Snowflake. Our commitment to transparency and reliability in data management ensures that you will be part of a team that is shaping the future of financial services while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – FinTech Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those who work with data platforms. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Databricks, Snowflake, or Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled challenges in building scalable data pipelines.
✨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 love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer – FinTech Data Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines, Python, and cloud platforms like AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer role and how your background in FinTech makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
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 from our team!
How to prepare for a job interview at Volition
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Snowflake, Python, and PySpark. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects, especially in building scalable data pipelines.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the importance of regulatory compliance. Be prepared to explain how your technical solutions can meet business needs and ensure data integrity, accuracy, and transparency.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around optimising data pipelines or transitioning from legacy systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Be a Team Player
Highlight your experience in mentoring junior engineers and collaborating with cross-functional teams. Share examples of how you’ve contributed to team success and improved engineering practices, as this role involves guiding others and enhancing team capability.
