Data Engineer - AWS / ETL / Python

This role is ideal for someone who enjoys building robust data platforms from the ground up and working across large-scale ETL, cloud-native services, API integrations, and data governance initiatives., * Design, build and maintain scalable ETL pipelines and data ingestion processes across a wide variety of structured and unstructured data sources

• Develop data extraction solutions using RESTful APIs and modern integration techniques
• Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis
• Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets
• Contribute within an Agile delivery environment, supporting the design, development and deployment of Java and REST-based domain data services
• Support scalable, high-performance systems aligned to modern MACH architectural principles
• Ensure best practice around data governance, security, privacy and compliance standards
• Develop and optimise data processing solutions using Python and Java
• Deliver high-performing, scalable solutions capable of supporting growing business demand

• 5+ years' experience within Data Engineering or related development roles
• Strong SQL development and optimisation experience
• Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL
• Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles
• Experience tuning and optimising complex queries and large datasets
• Ability to translate business requirements into scalable technical data solutions
• Experience implementing and maintaining data governance and data standards
• Strong analytical and problem-solving capability with a passion for learning new technologies
• Excellent communication and stakeholder engagement skills, with the ability to present technical concepts clearly to both technical and non-technical audiences

This is an excellent opportunity to join a forward-thinking team working on modern cloud-based data platforms and enterprise-scale transformation projects.