Gravitas Recruitment Group (Global) Ltd
Senior AWS Cloud Engineer - Cloud Transformation. Banking & Financial Services
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Senior AWS Cloud Data Engineer - AWS Cloud Transformation, Python, AWS Glue, SQL/ETL Data Modelling
YOU MUST HAVE 5+ YEARS WORKING IN A FINANCIAL SERVICES / BANKING DOMAIN ENVIRONMENT.
£700-£800/day INSIDE IR35. 2 DAYS PER WEEK ONSITE LONDON.
Role Overview
Our Financial Services London based client are looking for an experienced Senior AWS Data Engineer with strong Python & AWS Glue experience to design, build, and optimise modern cloud-based data solutions that support our enterprise applications and business services. This is a hands-on engineering role focused on developing scalable data pipelines, integrating data across multiple systems, and delivering reliable, secure, and high-performing data platforms on AWS. My client will only consider candidates from a solid Financial Services & Banking domain working background.
You will play a key role in our AWS Cloud Transformation Programme, working closely with Solution Architects, software engineering teams, and business stakeholders to deliver production-ready data solutions. Alongside technical delivery, you will mentor colleagues, promote engineering best practices, and help establish sustainable data engineering capabilities across the organisation.
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Key Responsibilities
- Design, develop, and maintain scalable AWS-based data pipelines and integration solutions.
- Build robust batch and near real-time ETL/ELT processes to support operational and analytical workloads.
- Develop cloud-native data solutions using AWS services that align with enterprise architecture and business requirements.
- Design and implement event-driven data processing and data integration patterns.
- Develop reusable, efficient, and maintainable Python-based data processing solutions.
- Integrate data across front-office, back-office, and third-party systems using modern integration approaches.
- Optimise data quality, performance, scalability, and reliability across the data platform.
- Work with structured and semi-structured datasets to support reporting, analytics, and downstream applications.
- Collaborate with Solution Architects and application teams to design scalable data architectures.
- Support production data services through monitoring, troubleshooting, performance tuning, and continuous improvement.
- Contribute to CI/CD pipelines, Infrastructure as Code, and engineering automation to support efficient delivery.
- Mentor engineers and promote data engineering best practices, documentation, and knowledge sharing.
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AWS Data Engineering
- Strong hands-on experience designing and delivering cloud-native data solutions using AWS services, including:
- AWS Glue
- Amazon S3
- AWS Lambda
- AWS Step Functions
- Amazon Athena
- Amazon RDS
- Amazon EventBridge
- AWS Lake Formation
- AWS IAM
- Amazon CloudWatch
Data Engineering
- Extensive experience designing and developing enterprise-scale ETL/ELT pipelines.
- Strong SQL skills and experience with data modelling techniques.
- Experience integrating data across complex application landscapes.
- Knowledge of batch and near real-time data processing.
- Experience designing scalable, resilient, and reusable data solutions.
- Understanding of data governance, security, and data quality principles.
- Experience working with large volumes of structured and semi-structured data.
Programming
- Strong Python development skills for:
- AWS Glue ETL development
- AWS Lambda
- Data transformation
- Automation
- Integration services
BANKING & FINANCIAL SERVICES BACKGROUND ESSENTIAL!
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