data engineer in fintech

Enfint; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Health & wellness package

Tech upgrade stipend

Learning & development budget

Quarterly innovation days

Adventure day

Gym access

Flexible working

Job summary

Enfint is seeking a senior data engineer to design and build scalable SQL databases and cloud data solutions in Azure. You will develop data pipelines for analytics and ML workloads, collaborate with data scientists, and ensure governance and security across data platforms.

The role requires 5+ years of experience in data engineering or database development, with strong SQL, data modelling, and Python skills. Flexible working options are available in Greater London.

Qualifications

• 5+ years in data engineering or database development.

Responsibilities

• Design and build SQL databases for scalability and performance.
• Maintain and optimise existing database systems for query efficiency.
• Architect and manage cloud-based databases and data solutions in Azure.
• Develop and maintain data pipelines for analytics and ML workloads.
• Collaborate with data scientists to prepare data for ML modelling.
• Contribute to Python-based data processing workflows.
• Ensure data governance, security, and integrity.
• Work with cross-functional teams to deliver scalable data solutions.

Skills

SQL & relational design

Database from scratch

Azure data services

Python data processing

Data modelling

ETL pipelines

Data governance & security

Tools

Azure SQL

Azure Data Factory

Azure Synapse

Job description

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