Contract Data Engineer

Corecom Consulting; Leeds; Hybrid; GBP 92,000 - 129,000; Full time

Job summary

Corecom Consulting is seeking a Contract Data Engineer to transform a legacy SQL data warehouse into a modern cloud-native AWS platform. The role is Outside IR35 and hybrid, with one day per week onsite north of Leeds.

You will design scalable AWS data lake and warehouse solutions and lead ETL/ELT development to deliver a robust data foundation. Key responsibilities include migrating data from legacy SQL environments, building scalable pipelines, and enabling authoritative reporting and

Qualifications

• SQL and Python proficiency required.
• Hands-on experience with AWS data services (S3, Glue, Redshift, Lambda, Athena).
• Experience designing data lakes and data warehouses; ETL/ELT development and data migration skills.

Responsibilities

• Design and develop scalable AWS-based data lake and data warehouse solutions.
• Build and optimise ETL/ELT pipelines using Python and SQL.
• Migrate data from legacy SQL environments into a cloud-native architecture.

Skills

SQL

Python

Amazon S3

AWS Glue

Amazon Redshift

AWS Lambda

Athena

Data warehouse design

ETL/ELT development

Data migration

Job description

Contract Data Engineer / Outside IR35 / Hybrid (one day a week North of Leeds) / £(Apply online only) per day

We are supporting a major data transformation programme and are looking for an experienced Senior AWS Data Engineer to help deliver the migration of a legacy SQL-based data warehouse into a modern, cloud-native AWS data platform.

You’ll play a key role in designing and building scalable data solutions, establishing a strategic source of truth for reporting and analytics, and helping to shape the future of the organisation’s data capabilities.

Key Responsibilities

• Design and develop scalable AWS-based data lake and data warehouse solutions


• Build and optimise ETL/ELT pipelines using Python and SQL


• Migrate data from legacy SQL environments into a cloud-native architecture

Essential Skills

• SQL and Python


• Hands-on experience with:


• Amazon S3


• AWS Glue


• Amazon Redshift


• AWS Lambda


• Athena


• Data warehouse and data lake design experience


• ETL/ELT development and optimisation


• Data migration and integration expertise