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- Tasks: Design and optimise data pipelines for actionable insights in a collaborative environment.
- Company: Join SSE Renewables, a leader in the green energy revolution.
- Benefits: Competitive salary, flexible working, health perks, and family support.
- Why this job: Make a real impact on renewable energy solutions while developing your skills.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
- Other info: Dynamic team with opportunities for growth in a forward-thinking company.
The predicted salary is between 29280 - 42240 £ per year.
Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Reading, Aberdeen, Perth or Glasgow.
Salary: £35,200- £52,800 + Performance-related bonus and a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available.
This is a fantastic opportunity for a motivated, adaptable individual to make a real impact within SSE Renewables. We’re looking for someone who brings proactive problem-solving, genuine enthusiasm, and strong data management expertise, and who thrives in a collaborative, forward-thinking environment. You’ll join the Renewables Digital IM and Data Team as we scale a governed, cost-efficient data platform designed to deliver robust, actionable insights that drive business value and support strategic decision-making across the organisation.
As a Data Engineer, you will focus on designing, developing, and optimising data ingestion, transformation, and serving layers across OneLake, Lakehouse, Warehouse, and Synapse SQL/Spark. 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 support the design and development of data solutions by contributing to pipeline development, data modelling, and quality and security practices. This role is hands-on and collaborative, providing opportunities to learn, work closely with stakeholders, and help deliver well-structured, reliable data solutions aligned with business needs.
You Will
- Build and maintain data pipelines using Fabric and Synapse to ingest and transform batch and streaming data, ensuring data quality and scalable processing.
- Develop Lakehouse and Warehouse layers following bronze/silver/gold patterns, and model data optimised for BI and analytics, including Power BI and Direct Lake.
- Use Fabric Notebooks and Synapse Spark to perform large-scale transformations and implement data quality and performance best practices.
- Support Governance, Security & Compliance by implementing Purview lineage/cataloguing, RBAC, data masking, encryption, and contributing to SLAs, SLOs, and data contracts.
- Collaborate across DevOps and product teams to refine requirements, deliver robust data solutions, 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.
- Proven Data Platform Engineering experience, including building metadata-driven batch and streaming pipelines using Fabric and Synapse, and developing Lakehouse/Warehouse architectures using bronze/silver/gold patterns.
- Technical capability in large-scale data processing, including using Fabric Notebooks (PySpark/SQL) and Synapse Spark for transformations and data quality, and designing performant BI/analytics data models with Power BI integration.
About SSE
SSE has a bold ambition – to be a leading energy company in a net zero world. We're building the world's largest offshore wind farm. Transforming the grid to provide greener electricity for millions of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline.
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. Please contact David.brickell@sse.com / 01738275 846 to discuss how we can support you.
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.
Ready to apply?
Start your online application using the Apply Now box on this page. We only accept applications made online. We’ll be in touch after the closing date to let you know if we’ll be taking your application further. If you’re offered a role with SSE, you’ll need to complete a criminality check and a credit check before you start work.
Data Engineer in Glasgow employer: SSE PLC
Contact Detail:
SSE PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at SSE or in the data engineering field on LinkedIn. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving Fabric and Synapse. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Focus on problem-solving scenarios and be ready to discuss your approach to building data pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining SSE and contributing to their mission in the renewable energy sector.
We think you need these skills to ace Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Fabric, and Synapse, and don’t forget to showcase your problem-solving skills and adaptability!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine enthusiasm for the role and how your skills align with SSE's mission. Be sure to mention your collaborative spirit and eagerness to learn.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data models or optimising data quality, real examples can really make you stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at SSE PLC
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Fabric and Synapse. Brush up on your knowledge of ELT/ETL pipelines and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your proactive problem-solving abilities. Think of specific challenges you've faced in data engineering and how you tackled them, especially in collaborative settings.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to engage with both technical and non-technical stakeholders, so being able to communicate effectively is key.
✨Demonstrate Adaptability
Be ready to discuss how you’ve adapted to new tools or changing project requirements in the past. Highlight your willingness to learn and grow, as this role values a proactive mindset.
