Title: Senior Data Engineer
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 lookinng 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