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# Senior Data Engineer

- **Company:** SSE plc
- **Location:** Reading, UK
- **Experience:** Expert
- **Salary:** £42,600.0 - £64,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Data Governance, Extract Transform Load (ETL), Data Migration, Data Systems, Python (Programming Language), Machine Learning, SQL Azure, NumPy, Power BI, Transact-SQL, Data Processing, Azure Data Factory, Large Language Models, Prompt Engineering, Data Strategy, Pandas, Data Lakes, AI Platforms, Pyspark, Data Pipelines, Databricks
- **Published:** June 18, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=396b4919fedcbf7a

## About the Role

Do you have experience in T-SQL?, Do you have a Master's degree?, * 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.

## Description

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.


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