data engineer in fintech

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.

• 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, TensorFlow, and PyTorch, knowledge of data warehousing concepts and modern data stack tools, exposure to DevOps 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.