Data Engineer
SSE is hiring a Data Engineer to build and optimise data ingestion, transformation and serving layers on Azure Databricks, Delta Lake and Databricks SQL, including developing its new Renewables Data Platform and migrating from Synapse. Hands-on hybrid role: 50% of the week in Reading, Perth or Glasgow.
- Compensation
- £36.2K–£54.4K / yr
- Location
- Perth, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proven data engineering experience, including metadata-driven batch and streaming pipelines with Azure Databricks and Delta Lake bronze/silver/gold architectures
- Technical capability in large-scale data processing with Python, PySpark and SQL for transformations and data quality
- Designing performant BI/analytics data models with Power BI integration
- Experience delivering data solutions in a growing business environment with varied data needs; ability to manage and prioritise workload
- Strong communication skills with technical and non-technical stakeholders
- Adaptability, proactive mindset and willingness to learn
Full description
Data Engineer
- Job Number: 560033
- Closing at: Nov 2 2026 - 23:55 GMT
Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Reading, Perth or Glasgow
Salary:Salary: £36,200- £54,400 + Performance-related bonus and a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | options available
The Role
As a Data Engineer, you will focus on designing, developing, and optimising data ingestion, transformation, and serving layers across Azure Databricks, Delta Lake, and Databricks SQL. Your work will enable reliable data products and insights for stakeholders, and you’ll collaborate with data architects, analysts, and product teams to deliver robust ELT/ETL pipelines, model data for performance and usability, and apply best practices in security and data quality.
Working within the Data & AI team, you will contribute to developing our new Renewables Data Platform on Databricks and migrating existing data solutions from Synapse. This role is hands-on and collaborative, combining pipeline development, data modelling, and quality and security practices to deliver well-structured, reliable data solutions aligned with business needs.
You Will
- Build and maintain metadata-driven pipelines using Azure Databricks to ingest and transform batch and streaming data, ensuring data quality and scalable processing.
- Develop Delta Lake layers following bronze/silver/gold patterns, and model data optimised for BI and analytics, including Power BI integration through Databricks SQL.
- Use Databricks pipelines, jobs, notebooks, PySpark and SQL to perform large-scale transformations and implement data quality, monitoring and performance best practices
- Support Governance, Security & Compliance through Unity Catalog lineage, cataloguing and code-managed permissions, applying data protection controls and contributing to SLAs, SLOs and data contracts.
- Collaborate across DevOps and product teams to refine requirements, deliver version-controlled solutions through CI/CD, and continuously develop your skills with evolving tools and technologies.
You Have
- Experience delivering data solutions in a growing business environment with varied data needs, and the ability to manage and prioritise workload effectively.
- Strong communication skills, able to engage clearly with technical and non-technical stakeholders across the IM Apps & Data team and wider business.
- Adaptability and a proactive mindset, with a willingness to learn, develop, and approach challenges with a positive attitude.