At a Glance
- Tasks: Design and build scalable databases, optimise performance, and support machine learning workflows.
- Company: Fast-growing tech company at the forefront of data and machine learning.
- Benefits: Up to £130,000 salary, bonuses, flexible working, and wellness initiatives.
- Other info: Enjoy adventure days, innovation time, and a focus on personal growth.
- 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.
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 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
- 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
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 (financial data) - Up to £130,000 + Bonus employer: Hunter Bond
Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (financial data) - Up to £130,000 + Bonus
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hunter Bond!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer (financial data) - Up to £130,000 + Bonus at Hunter Bond.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hunter Bond.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (financial data) - Up to £130,000 + Bonus at Hunter Bond, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hunter Bond, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hunter Bond. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hunter Bond
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hunter Bond!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
