Senior Data Engineer

Senior Data Engineer

Inverness Full-Time 42600 - 64000 Β£ / year (est.) No home office possible
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Scottish and Southern Electricity Networks

At a Glance

  • Tasks: Lead the design and development of scalable data pipelines using modern cloud technologies.
  • Company: Join SSE, a pioneering energy company committed to a net zero world.
  • Benefits: Enjoy flexible working, private healthcare discounts, and generous family entitlements.
  • Why this job: Be part of a team transforming energy solutions while mentoring junior engineers.
  • Qualifications: Experience with Azure Databricks, Python, and Agile workflows is essential.
  • Other info: SSE values diversity and offers support for all applicants.

The predicted salary is between 42600 - 64000 Β£ per year.

This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.

Base Location: Havant, Reading, Leeds, Glasgow, Perth, Inverness and Aberdeen

Salary: Β£42,600 – Β£64,000 + 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

We\’re looking for a Senior Data Engineer to join the Asset Data & Insights value stream. You\’ll lead the design, development and operations of robust, scalable data pipelines using modern cloud technologies-empowering real-time analytics, advanced BI, and data-driven decision-making across SSE Thermal. You\’ll need hands-on expertise with the Databricks ecosystem, a strong command of data engineering best practices, and a growth mindset that balances technical excellence with collaboration and continuous improvement. Experience in an asset-intensive or energy environment is desirable, as is familiarity with Agile product delivery and cloud-based data platforms.

You Will

As Senior Data Engineer, you\’ll architect and optimise our cloud data infrastructure-ensuring high-quality, accessible data for operational and strategic use.

– Build and maintain production-grade data pipelines using Databricks (Python, PySpark, Delta Live Tables, Unity Catalog) to serve downstream analytics and reporting.

– Optimise data architecture for performance, scalability, and reliability, proactively monitoring data health and troubleshooting pipeline issues.

– Mentor junior engineers and foster a knowledge-sharing culture through documentation, pairing, and architectural guidance.

– Collaborate with analysts, product teams, and business stakeholders to translate requirements into performant, well-structured data solutions.

– Champion secure, compliant data engineering practices, contributing to governance, CI/CD, and DevSecOps alignment.

You Have

– Proven experience building modern data pipelines in Azure Databricks, including asset bundles, Unity Catalog, and Delta Live Tables.

– Strong Python and PySpark skills, alongside advanced SQL proficiency for query performance, data modelling, and transformation logic.

– Hands-on experience with version control (Git), CI/CD pipelines, and Agile development workflows in a data engineering context.

– Demonstrated ability to work cross-functionally with analysts, architects, and product teams to deliver impactful data solutions.

– Knowledge of cloud-native data architecture (data lakes, lakehouse, ELT) and a passion for staying at the forefront of modern data stack tools and techniques.

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 Β£20 billion in homegrown energy, with Β£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 / 01738 275 846 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.

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Senior Data Engineer employer: Scottish and Southern Electricity Networks

SSE is an exceptional employer, offering a dynamic work environment that champions innovation and collaboration in the energy sector. With a strong commitment to employee wellbeing, flexible working options, and comprehensive benefits, including private healthcare and generous family entitlements, SSE fosters a culture of inclusivity and continuous growth. As a Senior Data Engineer, you'll have the opportunity to lead impactful projects while mentoring junior engineers, all within a company dedicated to achieving net zero ambitions and investing in sustainable energy solutions.
Scottish and Southern Electricity Networks

Contact Detail:

Scottish and Southern Electricity Networks Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with the Databricks ecosystem, especially focusing on Delta Live Tables and Unity Catalog. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your technical expertise and readiness for the role.

✨Tip Number 2

Showcase your understanding of cloud-native data architecture by preparing examples of how you've optimised data pipelines for performance and scalability in previous roles. This will highlight your ability to meet the demands of the position.

✨Tip Number 3

Network with professionals in the energy sector or those who work with data engineering in similar environments. Engaging with industry peers can provide insights into the company culture and expectations, which you can leverage during your application process.

✨Tip Number 4

Prepare to discuss your experience with Agile methodologies and CI/CD practices. Being able to articulate how you've successfully collaborated with cross-functional teams will set you apart as a candidate who can thrive in their dynamic work environment.

We think you need these skills to ace Senior Data Engineer

Databricks Ecosystem
Python Programming
PySpark Proficiency
Advanced SQL Skills
Data Pipeline Development
Cloud Data Architecture
Version Control (Git)
CI/CD Pipelines
Agile Development Methodologies
Data Modelling
Data Transformation Logic
Monitoring and Troubleshooting Data Pipelines
Collaboration with Cross-Functional Teams
Knowledge of Data Governance and Compliance

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly with Azure Databricks, Python, and PySpark. Use specific examples that demonstrate your ability to build scalable data pipelines and your familiarity with cloud technologies.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the role. Mention your experience in asset-intensive environments and your understanding of Agile methodologies, as these are key aspects of the job.

Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your hands-on expertise and problem-solving abilities.

Highlight Collaboration Skills: Since the role involves working cross-functionally, emphasise your collaboration skills. Provide examples of how you've successfully worked with analysts, product teams, or other stakeholders to deliver data solutions.

How to prepare for a job interview at Scottish and Southern Electricity Networks

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with Databricks, Python, and PySpark. Bring examples of data pipelines you've built and be ready to explain the architecture and challenges you faced.

✨Demonstrate Your Problem-Solving Abilities

Expect questions that assess your troubleshooting skills. Share specific instances where you identified and resolved issues in data pipelines, highlighting your analytical thinking and proactive approach.

✨Emphasise Collaboration and Mentorship

As a Senior Data Engineer, you'll be expected to mentor junior engineers. Discuss your experience in fostering a collaborative environment and how you've contributed to knowledge sharing within your team.

✨Align with Company Values

Research SSE's commitment to sustainability and their ambitious goals in the energy sector. Be ready to articulate how your values align with theirs and how you can contribute to their mission of achieving a net zero world.

Senior Data Engineer
Scottish and Southern Electricity Networks
Location: Inverness
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