AWS Data Platform Lead — Redshift & Glue Expert

SR2 REC LTD; Greater London; In loco; GBP 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

SR2 REC LTD is seeking an experienced Data Solution Technical Lead to design and deliver an AWS-based data platform for a major public sector transformation programme. The role is hands-on and requires leadership across engineering teams, architects and stakeholders to create secure, scalable data solutions.

Key responsibilities include architecting data flows, overseeing ingestion and ETL/ELT pipelines, and translating business requirements into actionable engineering tasks while ensuring data

Competenze

• Active SC & NPPV3 clearance.
• Strong hands-on AWS data engineering and architecture experience.
• Extensive experience with Redshift, Glue, SQL and ETL/ELT.
• Previous experience as a Technical Lead, Lead Data Engineer or Data Architect.
• Strong understanding of data integration, data quality and scalable cloud architectures.
• Experience working in Agile delivery environments.
• Excellent stakeholder engagement and technical leadership skills.

Mansioni

• Lead the design and delivery of AWS data solutions using Amazon Redshift, AWS Glue and associated services.
• Own High-Level and Low-Level Designs covering architecture, data flows, integration and security.
• Oversee data ingestion, ETL/ELT pipelines, transformation and data modelling.
• Provide technical direction to engineers, ensuring high standards of delivery.
• Translate business requirements into technical designs and actionable engineering tasks.
• Support data quality, record linkage, monitoring and platform optimisation.

Conoscenze

AWS data engineering

Data architecture

ETL/ELT

SQL

Agile delivery

Stakeholder engagement

Technical leadership

Strumenti

Amazon Redshift

AWS Glue

SQL

Descrizione del lavoro

SR2 REC LTD is seeking an experienced Data Solution Technical Lead to design and deliver an AWS-based data platform for a major public sector transformation programme. The role is hands-on and requires leadership across engineering teams, architects and stakeholders to create secure, scalable data solutions.

Key responsibilities include architecting data flows, overseeing ingestion and ETL/ELT pipelines, and translating business requirements into actionable engineering tasks while ensuring data