Lead AWS Data Engineer (London Area)

Lead AWS Data Engineer

📍 City of London (Hybrid: Around 2-3 office days per week)

💰 Salary: Up to £110,000

🏦 Industry: FinTech / RegTech

A 200-employee data and technology company specialising in Regulatory Technology (RegTech) are looking for a Lead AWS Data Engineer. They develop products that enhance data quality and help financial institutions navigate regulatory compliance.

The Role

The Lead Data Engineer will provide technical leadership to a small team of Data Engineers (onshore & offshore), driving the design, implementation, and optimisation of scalable data solutions in AWS.

Key Responsibilities

• Lead and mentor a team of onshore and offshore Data Engineers, driving technical growth and ensuring effective collaboration.
• Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation).
• Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming.
• Establish and enforce best practices in data engineering, coding standards, and architecture guidelines.
• Build and manage data lake architecture s on AWS to support scalable, secure, and cost-efficient storage and processing of structured and unstructured data.
• Manage team tasks and delivery using Agile methodologies, collaborating closely with product owners and scrum masters.

Skills and Experience

• 2+ years of leadership experience in data engineering, including mentoring and team management.
• 7+ years of hands-on experience in data engineering and ETL architecture.
• Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation and data lake design.
• Strong programming skills in Python and PySpark for data processing and automation.
• Extensive SQL experience (Spark-SQL, MySQL, Presto SQL) and familiarity with NoSQL databases (DynamoDB, MongoDB, etc.).
• Proficiency in Infrastructure-as-Code (Terraform, CloudFormation) for automating AWS data workflows.
• Experience designing, implementing, and optimising ETL pipelines, including real-time data processing and streaming architectures.

🎉 25 days holiday + bank holidays + birthday off.

🏥 Private healthcare & medical cashback plan.

🏋️ Monthly gym membership contribution.

📚 Annual personal development allowance.

🤝 Regular team socials in a collaborative environment.