Senior AWS Data engineer (LDW Data Warehouse Discovery)

Telford, Shropshire, SY2 5TN, United Kingdom
3 weeks ago
£400 – £480 pd

Salary

£400 – £480 pd

Seniority
Senior
Posted
17 Apr 2026 (3 weeks ago)

Senior AWS Data engineer (LDW Data Warehouse Discovery)

Max Supplier Rate: £483

Clearance Required: SC ACTIVE

Duration: 6 months

Location: Telford with 2 days/week in office

IR35 Status: Inside

The role falls within the Data Contract Delivery Area of the clients contract. The group provides a wide range of data and analytics solutions in support of our client's business priorities: maximise revenues, bear down on fraud, and cloud migration.

This role involves migrating data from legacy on-premise systems (primarily Oracle and Informatica) to a new AWS cloud-native architecture.

You will be part of an Agile software delivery team working closely with other engineers and supported by project managers, business analysts and architects. With additional client and key stakeholder interaction as required.

We are looking for strong AWS Senior Data Engineers who can design and deliver cloud transformation projects. Your work will be to:

As part of a cloud transformation team, supporting the technical lead with design and client interactions, and supporting junior engineers with their development.

Design, Develop and Test Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.

Implement ETL/ELT Processes: Develop and Test Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses/Data Lakes/Lake Houses using Open Source and AWS tools.

Adopt DevOps Practices: Utilise DevOps methodologies and tools for continuous integration and deployment (CI/CD).Must-have skills:

Proficiency with Core AWS Tools (AWS Glue, Lambda, S3, Redshift)

Programming Skills (Python)

SQL and Data Storage Technologies: Some knowledge of Data Warehouse, Database technologies, and technologies (AWS Redshift, AWS RDS).

AWS Data Lakes: Some experience with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.Nice-to-have skills:

Knowledge of Open Table Formats (Iceberg/Delta).

AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis.

Data modelling

Job scheduling/orchestration

Data virtualisation tools (Denodo)

ALM Tooling (Jira, Confluence)

CI/CD toolsets (GitLab, Terraform)

Reporting tools (Business Objects, Power BI, Pentaho BA)

Data Analytics toolset (SAS Viya)

Observability tools (Grafana, Dynatrace)Experience:

You should have experience as a senior data engineer delivering within large scale data analytics solutions and the ability to operate at all stages of the software engineering lifecycle, as well as some experience in the following

Awareness of DevOps culture and modern engineering practices

Experience of Agile Scrum based delivery

Proactive in nature, personal drive, enthusiasm, willingness to learn

Excellent communications skills including stakeholder management

Developing solutions within the given architecture and adhering to specified NFRs

Supporting other engineers within your team

Continually looking for ways to improve

Related Jobs

View all jobs

Senior AWS Engineer

SoCode Cambridge, Cambridgeshire, United Kingdom
£80,000 – £100,000 pa Hybrid

Senior Data Engineer

Experis London, United Kingdom
Hybrid

AWS Data Engineer

83zero Tower Hamlets, London, United Kingdom
£60,000 – £70,000 pa Hybrid Clearance Required

Military Data Centre Engineering Operations (DCEO), Amazon Web Services (AWS)

Amazon London, United Kingdom
Permanent

Senior GCP Data Engineer

VIQU IT Bolton, Manchester, M26 1HG, United Kingdom
£65,000 – £68,500 pa

Senior Data Engineer

VIQU IT Fleet Street, City And County Of the City Of London, United Kingdom
£80,000 – £90,000 pa Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.