Senior AWS Data Engineer

PBT Group is seeking a Senior Data Engineer to support a Transformation programme, a strategic initiative focused on modernising and optimising data platforms, pipelines, and reporting capabilities.

This role is ideal for a hands-on data engineer with strong cloud expertise (AWS), modern data processing frameworks, and solid Power BI capabilities. While the role carries senior expectations, experienced mid-level candidates with strong technical depth are encouraged to apply, as complex architectural components will be supported by the existing senior team.

• Design, build, and optimise scalable data pipelines and workflows
• Develop and maintain cloud-native data solutions within AWS
• Implement and manage development and deployment pipelines
• Support reporting and analytics use cases via Power BI
• Collaborate with finance, analytics, and technology stakeholders
• Ensure performance, reliability, and data quality across pipelines
• Contribute to data platform evolution and best practices
• Produce clear technical documentation and artefacts

Core Technical Requirements

Strong hands-on experience with:

• Power BI (data models, performance optimisation, reporting integration)
• AWS Ecosystem, including:
• AWS Lambda
• AWS EMR
• AWS Step Functions
• AWS Athena
• AWS S3
• ETL / ELT Pipeline Development
• SQL (advanced querying & optimisation)
• Python (data processing & automation)
• Azure DevOps (CI/CD pipelines & source control)

• Development of modular, maintainable data workflows
• Performance tuning of large-scale data processes
• Cloud-based analytics and processing patterns
• Experience working with structured and semi-structured datasets
• Understanding of distributed data processing concepts

Preferred Technical Exposure

Advantageous experience with:

• AWS Glue, Redshift, or related services
• Event-driven architectures (EventBridge, messaging patterns)
• Spark / PySpark
• Big Data / Hadoop-type ecosystems
• Containerisation (Docker)

Developer & Collaboration Tooling

Experience working with:

• Azure DevOps
• JIRA, Confluence
• CI/CD & Dev Pipeline setup
• Source control & branching strategies

• Bachelor’s degree in Computer Science, IT, Engineering, or related field
• Senior Level: 8 – 10+ years data engineering experience
• Mid-Level Consideration: 4 – 7 years strong relevant experience
• Proven experience in cloud-based data environments

• Strong problem-solving & analytical ability
• Hands-on, delivery-oriented mindset
• Ability to work in evolving transformation environments
• Strong stakeholder communication skills
• Collaborative and adaptable