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- Tasks: Design and build scalable databases, optimise performance, and support machine learning workflows.
- Company: Fast-growing fintech company at the forefront of data and machine learning.
- Benefits: Health package, tech stipend, learning budget, and flexible working options.
- Other info: Collaborative environment with great career growth and innovation opportunities.
- Why this job: Join a dynamic team and make an impact in data engineering and AI.
- Qualifications: 5 years in data engineering, strong SQL skills, and Azure experience.
The predicted salary is between 135000 - 135000 £ per year.
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.
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
- 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
- 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
- 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 in London 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 in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving SQL databases and Python. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing common data engineering problems and scenarios. Brush up on your SQL queries and be ready to discuss your past projects in detail. Confidence and preparation are key!
✨Apply Through Our Website
Don’t forget to check out our job listings on the StudySmarter website! Applying directly through us not only streamlines the process but also shows your enthusiasm for joining our innovative team.
We think you need these skills to ace Data Engineer - Up to £135,000 + Bonus in London
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 demonstrate your skills in data engineering.
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 background aligns with 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 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’re considered for this exciting opportunity with StudySmarter!
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 challenges you've faced in data engineering and how you tackled them. Companies love candidates who can think critically and come up with innovative solutions, so have a few stories ready that highlight your problem-solving prowess.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Engineer contributes to the bigger picture. Understand the role of data in driving business decisions, especially in fintech, and be ready to explain how your contributions can lead to actionable intelligence.
✨Collaborate and Communicate
Since this role involves working closely with data scientists and stakeholders, practice articulating your thoughts clearly. Be ready to discuss how you’ve collaborated in the past and how you ensure everyone is on the same page when it comes to data requirements.