AWS Data Engineer (Ref: 197894

Nottingham (Hybrid) | 12-Month Fixed-Term Contract

Competitive Salary + Benefits

About The Company

Forsyth Barnes is partnering with a market-leading technology organisation currently investing heavily in a next-generation Analytics & AI platform.

As part of a major cloud transformation programme, our client is building a modern AWS-based data platform designed to power customer analytics, self-service reporting, APIs, machine learning and future AI products.

This is an opportunity to join a business where data is at the heart of product innovation and play a key role in shaping the future of its analytics capabilities.

The Role

We are looking for a Senior AWS Data Engineer to help design, build and optimise cloud-native data products and data pipelines within a modern AWS Lakehouse environment.

You’ll work with large-scale operational and customer datasets, helping transform raw data into trusted, reusable products that support analytics, reporting and AI initiatives across the organisation.

This is a hands‑on engineering role suited to someone who enjoys building scalable solutions, solving complex integration challenges and driving best practice across modern data platforms.

Key Responsibilities

Design and develop scalable data pipelines and data products within AWS.

Build and optimise lakehouse architectures supporting analytics and AI workloads.

Develop transformations and reusable datasets using Python, SQL and dbt.

Integrate data from multiple operational, API and third‑party sources.

Implement data quality, governance and lineage best practices.

Collaborate with Product, Engineering and Analytics teams to deliver trusted data solutions.

Support platform performance, reliability and cost optimisation initiatives.

Contribute to the evolution of modern cloud data engineering standards and practices.

Requirements

Strong commercial experience as a Data Engineer within AWS environments.

Proven experience with services such as S3, Glue, Redshift, Athena or similar AWS analytics technologies.

Excellent SQL and Python skills.

Experience building ETL/ELT pipelines and cloud-based data solutions.

Exposure to dbt, Spark or modern transformation frameworks.

Understanding of data modelling, data quality and data governance principles.

Experience delivering analytics, reporting or AI-ready data products.

Nice to Have

Lakehouse architecture experience.

Terraform or Infrastructure as Code exposure.

Experience in customer-facing analytics environments.

Package

12-Month Fixed-Term Contract

Enhanced holidays

Opportunity to work on a high-profile Analytics & AI transformation programme

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