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- Tasks: Design and build scalable databases, optimise performance, and support machine learning workflows.
- Company: Innovative fintech company at the forefront of data and machine learning.
- Benefits: Health package, tech stipend, learning budget, adventure days, and flexible working options.
- Other info: Collaborative environment with excellent growth opportunities and innovation-focused culture.
- Why this job: Join a dynamic team and make an impact in data engineering and AI applications.
- Qualifications: 5 years in data engineering, strong SQL skills, and experience with Azure.
The predicted salary is between 135000 - 135000 £ per year.
Client: Fintech
Salary: Up to £135,000 + Bonus
Location: London
About the Client: We are partnering with an innovative, fast-growing technology company operating at the forefront of data, cloud, and machine learning. The team builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across industries including fintech, healthcare, and digital services. Their mission is to turn complex data into actionable intelligence through robust engineering, modern cloud infrastructure, and cutting-edge machine learning techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a high-impact environment.
The Role: We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable database systems, primarily within a cloud-based Azure environment, while also contributing to machine learning modelling and data pipeline development in Python. This role is ideal for someone who enjoys owning the full data lifecycle — from database architecture and performance tuning to enabling advanced analytics and ML use cases. You’ll collaborate closely with engineers, data scientists, and stakeholders to deliver high-quality, efficient, and scalable data solutions.
Key Responsibilities:
- Design and build SQL databases from scratch, ensuring scalability, reliability, and performance
- Optimise and maintain existing database systems, improving query performance and efficiency
- Architect, implement, and manage cloud-based databases and data solutions in Azure
- Develop and maintain data pipelines to support analytics and machine learning workloads
- Collaborate with data scientists to prepare and structure data for ML modelling
- Contribute to Python-based machine learning models and data processing workflows
- Ensure best practices in data governance, security, and integrity
- Work closely with cross-functional teams to understand data requirements and deliver solutions
Skills & Experience:
- 5 years of experience in data engineering or database development roles
- Strong expertise in SQL and relational database design (e.g. schema design, indexing, optimisation)
- Experience building and managing databases from the ground up
- Hands-on experience with Microsoft Azure data services (e.g. Azure SQL, Data Factory, Synapse or similar)
- Proficiency in Python for data processing and basic machine learning workflows
- Solid understanding of data modelling, ETL processes, and data architecture principles
- Experience with performance tuning and query optimisation
- Strong problem-solving skills and attention to detail
Nice to Have (Not Required):
- Experience with big data tools or distributed data systems
- Familiarity with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
- Knowledge of data warehousing concepts and modern data stack tools
- Exposure to DevOps practices, CI/CD, or infrastructure-as-code
- Experience working in fast-paced or startup environments
Benefits:
- Comprehensive Health & Wellness Package, including mental health support
- Tech Upgrade Stipend for your home setup
- Learning & Development Budget for courses, certifications, and conferences
- Quarterly Innovation Days to explore new ideas and technologies
- Adventure Days — one paid day per quarter to do something you love
- Gym access, wellness initiatives, and encouraged mental health days
- Flexible working options and a collaborative, growth-focused environment
Data Engineer - Up to £135,000 + Bonus employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Up to £135,000 + Bonus
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and data engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL databases, Azure, and Python. This is your chance to demonstrate your expertise and passion for data engineering, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you’ve tackled challenges in database design and optimisation. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a leg up in the hiring process. So, what are you waiting for? Get that application in!
We think you need these skills to ace Data Engineer - Up to £135,000 + Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Azure, and Python, and don’t forget to showcase any relevant projects or achievements that align with what we’re looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your skills can contribute to our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you approach problem-solving, especially in high-impact environments like fintech or healthcare.
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. Plus, it’s super easy!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and Azure. Brush up on your database design skills and be ready to discuss how you've built and optimised systems in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific instances where you improved query performance or optimised a database system, and be ready to explain your thought process.
✨Understand the Business Context
Research the fintech industry and understand how data engineering plays a role in it. Be prepared to discuss how your work can contribute to turning complex data into actionable intelligence for the company.
✨Collaborate and Communicate
Since this role involves working closely with data scientists and other teams, practice articulating your ideas clearly. Be ready to discuss how you would approach collaboration and ensure everyone is aligned on data requirements.