Circa £42k, salary dependant on skills and experience
Base location in either Lincoln or Huntingdon (depending on your location) with hybrid working
Permanent
Full time, 37 hours per week
Do you enjoy building scalable data pipelines and analytical datasets that enable meaningful insight?
Are you experienced in data engineering and dimensional modelling, and interested in working with modern Azure data technologies?
If you’re a collaborative engineer who enjoys solving complex data challenges and continuously improving how data platforms operate, we have an exciting opportunity to join our data engineering team.
Our Data and Digital Services team delivers enterprise data and analytics capabilities across Anglian Water. Working on our Azure-based Lakehouse platform, you will help design and deliver scalable data solutions that support reporting, analytics, and insight across the organisation.
You will join an established Azure data platform team working in an Agile environment, collaborating closely with architects, product owners, analysts, and platform engineers.
Our Data Platform
You will work on a modern Azure Lakehouse data platform built using standardised engineering practices and reusable platform components.
The platform includes a bespoke engineering framework that provides reusable patterns, automation, and tooling to support the consistent development of data pipelines, dimensional models, and analytical datasets. This enables engineers to focus on solving data challenges while maintaining high standards for reliability, governance, testing, and deployment.
What will my role involve?
As a Data Engineer, you will design, build, and maintain data pipelines and analytical datasets on our Azure data platform. You will work across the lifecycle of data solution delivery, from understanding requirements through to implementing robust data models that support reporting and analytics.
This is a T-shaped role, where you will have core expertise in data engineering while contributing across multiple aspects of data solution delivery.
Key responsibilities include:
Designing, developing, and maintaining scalable data pipelines that ingest and transform data from enterprise systems into the data platform.
Designing and implementing dimensional data models using Kimball methodologies, including developing star schemas and analytical datasets to support reporting and analytics.
Developing and maintaining Power BI semantic models to enable consistent and performant enterprise reporting.
Supporting the end-to-end delivery of data and analytics solutions in collaboration with architects, analysts, and other engineers.
Working within an Agile/Scrum delivery model, contributing to estimation, planning, and continuous improvement.
Contributing to and extending automated testing frameworks to improve data reliability and test coverage across pipelines.
Applying platform standards and engineering practices to ensure solutions are robust, maintainable, and secure.
Collaborating with team members to maintain high standards for data quality, governance, and documentation.
Sharing knowledge and supporting team members to maintain strong engineering practices across the platform.
While the primary focus of the role is data engineering and semantic modelling, engineers may occasionally support the development of Power BI reports and dashboards where required.
What does it take to be a Data Engineer?
We are looking for someone with solid data engineering experience who enjoys working collaboratively to build high-quality data solutions.
Essential experience
Experience building data solutions using the Azure data platform
Strong SQL skills and experience with Python and/or Spark
Experience with Azure Databricks
Practical experience designing dimensional data models (Kimball methodology)
Experience delivering data and analytics solutions end-to-end
Experience working within Agile/Scrum delivery teams
Familiarity with Power BI semantic models
Desirable experience
Experience with Azure Data Factory and Unity Catalog
Experience working with Delta Lake / Lakehouse architectures
Experience with CI/CD and DevOps practices, including Git-based version control
Exposure to Power BI report development
Key behaviours and qualities
Strong analytical and problem-solving skills
Ability to work collaboratively within cross-functional teams
Comfortable contributing across multiple areas of data solution delivery
Strong communication and documentation skills
Commitment to continuous learning and improving engineering practices
What does it take to be an Enterprise Data Engineer?
Previous strong experience in data engineering ideally using Azure Databricks, Azure Data Factory, Spark, Python, SQL, Power BI
Strong data engineering experience at least 3-5 years
Dimensional data modelling
Experience in delivering end to end BI solution from requirements, design to delivery
Experience of working within an Agile/Scrum environment
Experience/understanding of Product lifecycle management
Knowledge of Azure DevOps or similar tools
As a valued employee, you’ll be entitled to:
Personal private health care
26 days annual leave – rising with length of service
Flexible working
Pension scheme – Anglian Water double-matches your contributions up to 6%
Bonus scheme
Flexible benefits to support your wellbeing and lifestyle.
Why Anglian Water?
Anglian Water is not your typical water company. What we do really matters. Water is the lifeblood of our world and we’re proud of the difference we make. We put people at the heart of our business, and we truly love what we do! If you’re passionate about what you do and would like to make a difference, then we’d love to hear from you.
Inclusion at Anglian Water: Join us and make a difference. Our customers come from a wide range of backgrounds, and we think our workplace should reflect that. We are committed to making sure all our colleagues feel they belong and are supported to succeed. Together with our fellow water companies, we are committed to the Social Mobility Pledge; we are also a signatory to Business in the Community’s Race at Work charter; we hold the Armed Forces Gold Covenant for Employers; we are an accredited Disability Confident employer and we play a leading part in the Women’s Utility Network.
Closing Date: 22nd March 2026
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