Data engineer in fintech
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-08-12
Listing for:
Enfint
Full Time
position Listed on 2026-08-12
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Описание
The client is an innovative, fast-growing technology company operating across data, cloud, and machine learning. It builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across fintech, healthcare, and digital services.
Задачи- Design and build SQL databases from scratch for scalability, reliability, and performance
- Optimise and maintain existing database systems to improve query performance and efficiency
- Architect, implement, and manage cloud-based databases and data solutions in Azure
- Develop and maintain data pipelines for 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 with cross-functional teams to understand data requirements and deliver scalable data solutions
- 5+ Years of experience in data engineering or database development roles
- Strong expertise in SQL and relational database design, including schema design, indexing, and optimisation
- Experience building and managing databases from the ground up
- Hands-on experience with Microsoft Azure data services such as Azure SQL, Data Factory, and Synapse
- 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: experience with big data tools or distributed data systems, familiarity with ML frameworks such as scikit-learn, Tensor Flow, and PyTorch, knowledge of data warehousing concepts and modern data stack tools, exposure to Dev Ops practices, CI/CD, or infrastructure-as-code, experience in fast-paced or startup environments
- Comprehensive Health & Wellness Package, including mental health support
- Tech Upgrade Stipend for home setup
- Learning & Development Budget for courses, certifications, and conferences
- Quarterly Innovation Days to explore new ideas and technologies
- One paid Adventure Day per quarter
- Gym access, wellness initiatives, and encouraged mental health days
- Flexible working options
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