At a Glance
- Tasks: Build and scale a modern data platform using Databricks and Snowflake.
- Company: Join a leading FinTech company transforming financial data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and team development.
- Why this job: Make a real impact in the financial sector with cutting-edge technology.
- Qualifications: Proven experience in data pipelines, Python, and cloud platforms.
The predicted salary is between 90000 - 120000 € 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
- Strong grounding in software engineering best practices (clean code, testing, CI/CD, observability)
- 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/Software Engineer (£90k-120k) - FinTech employer: Volition
Join a forward-thinking FinTech company that prioritises innovation and employee development, offering a collaborative work culture where your contributions directly impact the financial landscape. With competitive salaries and a focus on continuous learning, you'll have access to cutting-edge technologies and the opportunity to mentor junior engineers, all while working in a dynamic environment that values transparency and reliability in data management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data/Software Engineer (£90k-120k) - FinTech
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, attend meetups, and engage with industry professionals on LinkedIn. 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 projects, especially those involving Databricks, Snowflake, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss how you've tackled complex problems in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Data/Software Engineer (£90k-120k) - FinTech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Databricks, Snowflake, and Python, as these are key for us. A tailored CV shows you understand what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you've built scalable data pipelines or worked with cloud-native architectures. We love seeing how you've tackled challenges in regulated environments, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for FinTech and how your background aligns with our mission. Make it personal and engaging – we want to get to know you!
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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!
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.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly around data quality and compliance. Think of examples where you implemented robust solutions that ensured data integrity and traceability.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the regulatory landscape. Being able to translate complex business requirements into technical solutions will impress interviewers and show you understand the bigger picture.
✨Be a Team Player
Highlight your experience mentoring junior engineers and collaborating with cross-functional teams. Discuss how you’ve contributed to team capability and delivery, as this role involves supporting others while driving technical direction.
