JOB  SUMMARY

This role is focused on:

• Designing, developing, and maintaining scalable data pipelines using Spark and PySpark.
• Building cloud-native data solutions within AWS data platforms.
• Supporting large-scale migration of legacy and bespoke data pipelines.
• Developing robust ETL and ELT processes using modern data engineering practices.
• Working with business and technical stakeholders to understand requirements and deliver high-quality solutions.
• Contributing to data platform optimisation, automation, and continuous improvement initiatives.
• Collaborating within Agile delivery teams to deliver business-critical outcomes.

Key Responsibilities

• Design, build, and optimise data pipelines using Spark, PySpark, and Java.
• Develop and maintain AWS-native data solutions leveraging services including Glue, Glue Catalog, S3, Airflow, DBT, and Starburst/Presto.
• Support the migration of existing data assets into modern cloud-based architectures.
• Implement data quality, monitoring, and performance optimisation practices.
• Work closely with architects, analysts, and stakeholders to deliver reliable and scalable data solutions.
• Troubleshoot complex data engineering issues and identify opportunities for improvement.
• Contribute to technical design discussions and engineering best practices.
• Provide consulting expertise and communicate effectively with customer stakeholders.

What We’re Looking For

Core Skills and Experience

• Strong experience as a Data Engineer in enterprise-scale environments.
• Hands-on experience with Spark, PySpark, and Java.
• Strong knowledge of the AWS data ecosystem, including:

o AWS Glue
o Glue Catalog
o Amazon S3
o Starburst / Presto
o Apache Airflow
o DBT

• Experience designing and supporting complex data pipelines and data integration solutions.
• Strong understanding of cloud-based data architectures and engineering best practices.
• Excellent problem-solving and analytical skills.
• Strong stakeholder engagement and communication skills.
• Customer-focused mindset with the ability to work directly with senior business and technical stakeholders.

Desirable

• Financial Services industry experience.
• Consulting experience within client-facing environments.
• Experience delivering large-scale cloud migration or modernisation programs.
• Exposure to modern data lake, lakehouse, and distributed data processing architectures.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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