Senior data engineer

Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Reading, Havant, Perth or Dublin.

Salary: £42,600- £64,000 / €57,600 - €86,400+ performance-related bonus and a range of benefits to support your finances, wellbeing and family.

Working Pattern: Permanent | Full Time | Flexible First options available.

The Role

As a Data Engineer at ECS, you will play a key role in supporting the delivery of our data strategy. You will contribute to the design, development, and optimisation of scalable data solutions that enable business insights and enhance customer experience, particularly through the use of cloud technologies and advanced analytics.

You will also be involved in data migration and transformation initiatives, working closely with cross-functional teams to ensure data is accurate, accessible, and secure.

You Will

• Contribute to the delivery of data solutions across Distributed Energy and Business Energy within ECS, working as part of a collaborative technical team.
• Support and mentor junior data engineers, promoting knowledge sharing and teamwork.
• Apply strong analytical and problem‑solving skills to help design and implement data pipelines and models.
• Communicate effectively with both technical and non-technical stakeholders, contributing to discussions and sharing insights.
• Show enthusiasm for innovation, particularly in AI and automation, and demonstrate a willingness to learn and adapt in a fast-paced environment.

You Have

• Hands‑on experience with Azure data services, including Azure Data Factory, Databricks, Azure Storage (Data Lake / Delta Lake), Azure SQL Database, and Synapse.
• Proficiency in Python/PySpark, T-SQL, and data analysis libraries such as Pandas and NumPy. Experience with Power BI is desirable.
• Experience building and maintaining ETL pipelines, developing data models, and contributing to documentation and code reviews.
• A good understanding of data governance, data manipulation, machine learning concepts, large language models (LLMs), and generative AI tools is preferable.
• Awareness of enterprise AI platforms such as Claude and Google Gemini and Databrick Genie AI, including their use cases, strengths, limitations, and responsible use in a business environment.
• Ability to work with LLM‑enabled solutions, including prompt design, evaluation of outputs, data privacy considerations, and integration with data and automation workflows.

About SSE

SSE has a bold ambition - to be a leading energy company in a net zero world. We're investing around £10 million a day in homegrown energy to help power a cleaner, more secure future. Our investment will see us build the world's largest offshore wind farm and transform the grid to deliver greener electricity to millions.

Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more.

Flexible Benefits To Fit Your Life

Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest‑free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave.

Work with an equal opportunity employer

SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive.

We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.