At a Glance
- Tasks: Design and develop data solutions using cloud platforms and modern data engineering techniques.
- Company: Join Anglian Water, a forward-thinking company making a real difference.
- Benefits: Enjoy flexible working, private healthcare, and generous annual leave.
- Other info: Diverse workplace committed to inclusion and social mobility.
- Why this job: Be part of an innovative team that values your input and fosters growth.
- Qualifications: 3-5 years in data engineering with cloud experience and Agile methodology.
The predicted salary is between 45000 - 45000 £ per year.
Base location in either Lincoln or Huntingdon (depending on your location) and home working (expectation is 2 days in the office).
Permanent, full time, 37 hours per week.
Do you have prior experience of modern data engineering, including data modelling? Do you have experience of working within an Agile environment, or are keen to work in one? Do you like to always explore, learn, challenge yourself, and are a good team player? If you can answer yes to the above, we have an exciting opportunity for you with our expanding team!
The data service will go beyond the traditional data warehouse to provide a modern business intelligence capability that enables governed self-service analytics on trusted, well-engineered data products. This allows business SMEs and data and analytics specialists to work hand in hand to deliver insight that drives business performance, alongside emerging real-time and operational data capabilities.
What will my role involve?
The Data Engineer is a T-shaped professional (also referred to as a generalised specialist) with identifiable core skills, yet with the ability to work across multiple disciplines (both technical and non-technical) as required. The Enterprise Data Engineer, whilst having core skills to deliver data and analytical solutions on our analytics and big data platform, will also act as a technical expert across data platform delivery, including batch data pipelines.
You will be expected to work in an Agile/Scrum environment, in a squad model consisting of various other developers. You may be expected to work as a lead within the squad and/or fulfil other roles as required.
The Enterprise Data Engineer will have the core skills to carry out the following activities:
- Actively contribute to work estimation
- Adopt and embed agile development and continuous improvement into team ways of working
- Support the onboarding of new team members and coach other Data Engineers
- Actively contribute to drafting and updating our service policies, procedures, work instructions, and guidance notes
- As a Data Solution Designer/Modeller, design robust, secure, and supportable corporate data solutions to meet business requirements, following appropriate data modelling approaches
- As a Data Engineer, develop, test, and/or quality assure data pipelines from corporate systems into the Data Lake
- As a Semantic Layer Developer, develop, test, and/or quality assure semantic models (where required to support downstream analytics and reporting)
- Where required, develop, test, and/or quality assure reports and dashboards
- As a Test Automation Specialist, build automated test frameworks and develop test harnesses for each component. You will be responsible for increasing overall test coverage and ensure a culture of automated testing is embraced
What does it take to be an Enterprise Data Engineer?
- Previous strong experience in data engineering using cloud platforms (e.g. Azure), including tools such as Databricks, Azure Data Factory, Spark, Python, and SQL (Power BI beneficial but not essential)
- Strong data engineering experience of at least 3–5 years
- Experience in data modelling (e.g. dimensional and/or lakehouse patterns)
- Experience delivering end-to-end data solutions from requirements through to production deployment
- 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 7%
- 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: 7th June 2026
Senior Data Engineer - Cloud Pipelines, Hybrid in Lincoln employer: Anglian Water Group Ltd.
Anglian Water is an exceptional employer that prioritises employee wellbeing and professional growth, offering a competitive salary, flexible working arrangements, and a comprehensive benefits package including personal private healthcare and a generous pension scheme. With a strong commitment to diversity and inclusion, Anglian Water fosters a collaborative work culture where team members are encouraged to innovate and develop their skills in a supportive environment, making it an ideal place for those looking to make a meaningful impact in the water industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Cloud Pipelines, Hybrid in Lincoln
✨Tip Number 1
Network like a pro! Reach out to current employees at Anglian Water on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those technical questions! Brush up on your data engineering skills, especially with Azure tools like Databricks and Azure Data Factory. Practise explaining your past projects and how you tackled challenges in an Agile environment.
✨Tip Number 3
Show your passion for continuous learning! During interviews, share examples of how you've kept up with industry trends or learned new technologies. This will demonstrate that you're not just a fit for the role but also a great long-term investment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Anglian Water.
We think you need these skills to ace Senior Data Engineer - Cloud Pipelines, Hybrid in Lincoln
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud platforms, data modelling, and Agile environments. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's data pipelines or analytics solutions, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Anglian Water Group Ltd.
✨Know Your Data Engineering Tools
Make sure you brush up on your experience with cloud platforms like Azure, Databricks, and Azure Data Factory. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Emphasise Agile Experience
Since the role involves working in an Agile/Scrum environment, be prepared to share examples of how you've contributed to Agile teams. Talk about your role in sprints, how you handle work estimation, and any experience you have in coaching others.
✨Showcase Your Data Modelling Skills
Highlight your experience with data modelling techniques, especially dimensional and lakehouse patterns. Prepare to explain how you've designed robust data solutions that meet business requirements, and be ready to discuss the methodologies you used.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, testing frameworks, and semantic models. Brush up on your Python and SQL skills, and be ready to demonstrate your understanding of automated testing and quality assurance processes.
