data engineer in fintech

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

Требования

• 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

Условия

• 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