Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer

SSE Enterprise
Berkshire
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer





Senior Data Engineer






  • Job Number:
    554544























  • Closing at: Jul 25 2025 - 23:55 BST
































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


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


Working Pattern:Permanent | Full Time | 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 £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



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.



#LI-


#LI-HybridOR#LI-Onsite





Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.