Data Engineer - Up to £135,000 + Bonus

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