Data Engineer

Data Engineer

Full-Time 50000 - 60000 € / year (est.) Home office (partial)
Southern Water group

At a Glance

  • Tasks: Design and build data solutions to enhance customer outcomes and business performance.
  • Company: Join Southern Water, a leader in transforming the water industry.
  • Benefits: Enjoy a competitive salary, generous pension, health benefits, and 25 days holiday.
  • Other info: Hybrid working with opportunities for professional growth and community volunteering.
  • Why this job: Make a real impact on data management while working with cutting-edge technology.
  • Qualifications: Experience with Azure services, strong SQL skills, and a passion for data engineering.

The predicted salary is between 50000 - 60000 € per year.

We’re looking for a Data Engineer to join our Data & Analytics team as we embark on an exciting transformation in how we manage and use data across Southern Water. This role sits at the heart of our data strategy, helping to improve how we manage, govern and utilise data to drive better outcomes for our customers and the business. Working within a collaborative, forward-thinking team, you’ll play a key role in building and scaling our modern data platform on Microsoft Azure.

What you will be responsible for:

  • As a Data Engineer, you’ll design, build and optimise data solutions that enable secure, scalable and high-quality data across the organisation.
  • Build and maintain ELT pipelines to ingest, transform and load data into the Southern Water Delta Lake.
  • Automate and manage data pipelines using Azure Data Factory and Databricks, ensuring reliability and performance.
  • Design and implement scalable data models to support analytics, reporting and machine learning use cases.
  • Apply data governance, quality and security best practices using tools such as Unity Catalog, Purview and Key Vault.
  • Collaborate with data scientists, analysts, DevOps and business stakeholders to deliver aligned data solutions.
  • Monitor, troubleshoot and optimise data pipelines to improve performance, scalability and cost-efficiency.

Additional Requirements specific to the role:

  • Hybrid working with occasional travel to Durrington office.
  • Participation in team collaboration and delivery sessions as required.
  • No regular standby or rota requirements.

What you’ll bring to the role:

Essential

  • Experience working with Azure data services including Databricks and Azure Data Factory.
  • Strong programming skills in SQL and at least one of Python, Scala, Bash or PowerShell.
  • Proven experience in data engineering, including building pipelines, data modelling and working with large datasets.
  • Understanding of data warehousing principles, big data architectures and performance optimisation.
  • Strong analytical and problem-solving skills with the ability to deliver complex solutions.

Desirable

  • Microsoft Certified: Azure Data Engineer Associate or Azure Fundamentals.
  • Databricks Data Engineer certification or experience working in a similar environment.

Southern Water is at the forefront of transforming Britain’s water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed.

You will be joining at a time of significant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation.

At Southern Water, we believe diverse perspectives drive innovation. If you’re passionate about making a positive impact and think you can bring value to our team, we’d love to hear from you—even if you don’t tick every box. Your unique skills and experiences could be exactly what we need.

If this role isn’t quite what you’re looking for but are keen to be contacted about opportunities at Southern Water, you can register your details here: Introduce Yourself.

Our Commitment to Diversity

We welcome applicants from all backgrounds, identities, and experiences. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you need reasonable adjustments during the recruitment process, please let us know.

Our Benefits

  • Company and performance-related bonus.
  • Generous pension with up to 11% company contribution.
  • Life assurance payment equal to four times your annual salary.
  • Health benefits through a Cash Plan.
  • Two paid community volunteering days a year.
  • 25 days annual holiday.
  • Occupational health service.
  • Retail discount app.
  • We offer competitive maternity leave, and flexible return to work options.

Data Engineer employer: Southern Water group

Southern Water is an exceptional employer, offering a dynamic and collaborative work environment where Data Engineers can thrive. With a strong commitment to employee growth, competitive benefits including generous pension contributions and health plans, and a focus on diversity and inclusion, you will have the opportunity to make a meaningful impact in transforming the water industry while enjoying a flexible hybrid working model from Durrington. Join us as we lead the way in sustainable water management and innovation.

Southern Water group

Contact Detail:

Southern Water group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

Tip Number 1

Network like a pro! Reach out to current employees at Southern Water on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Prepare for the interview by brushing up on Azure services and data engineering concepts. We want to see your passion and knowledge shine through when discussing your experience!

Tip Number 3

Showcase your projects! If you've built any cool data pipelines or models, be ready to talk about them. Real-world examples can set you apart from the crowd.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Data Engineer

Azure Data Services
Databricks
Azure Data Factory
SQL
Python
Scala
Bash

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Azure data services and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!

Show Off Your Skills:When detailing your programming skills, be specific! Mention your experience with SQL, Python, or any other languages you know. We love seeing concrete examples of how you've built pipelines or worked with large datasets.

Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate clarity and brevity in applications!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, we’re excited to see what you bring to the table!

How to prepare for a job interview at Southern Water group

Know Your Data Tools

Make sure you brush up on your knowledge of Azure Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare examples that highlight your analytical and problem-solving abilities. Think of specific instances where you designed or optimised data solutions, and be ready to explain your thought process during the interview.

Understand Data Governance

Familiarise yourself with data governance principles and best practices. Be prepared to discuss how you've applied these in previous roles, especially using tools like Unity Catalog and Purview.

Collaborate and Communicate

Since this role involves working closely with various teams, think about how you can demonstrate your collaboration skills. Prepare to share experiences where you successfully worked with data scientists, analysts, or business stakeholders to deliver aligned data solutions.