Senior Data Engineer

Assystem, Switch On
Bristol
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

Company Description

💡 About Assystem

Assystem is one of the UK’s leading engineering and digital services organisations, dedicated to accelerating the global energy transition. With 8,000 Switchers worldwide, we combine deep engineering heritage with advanced digital innovation to deliver major low-carbon infrastructure programmes. In the UK, our teams support landmark projects including Hinkley Point C, Sizewell C and the development of Small Modular Reactors, enabling a secure and sustainable energy future. For more than 55 years, we have been trusted to deliver complex projects in highly regulated industries.

🤝 Why Join the Community of Switchers?

You will join one of the top three largest nuclear engineering companies in the world, contributing to high-impact projects that shape the future of low-carbon energy. At Assystem, you will work alongside experts who value collaboration, continuous learning and the shared ambition of progressing the energy transition. This is an opportunity to work in a supportive environment where your future team uses technology, innovation and engineering excellence to drive meaningful change.

Job Description

🚀 The Job Mission

This is a hybrid role and applicants must live within a practical commuting distance of Bristol, with relocation support available for those moving from further afield.
You will lead the advancement of the UK Digital Excellence Centre’s data capabilities.
You will modernise and centralise data infrastructure across the business.
You will work closely with stakeholders while mentoring the wider data team.

Key Responsibilities:

• Lead development of a central Azure data platform for secure, scalable data capability
• Provide mentoring and guidance to junior data engineers across projects
• Design automated ETL and ELT pipelines using modern engineering methods
• Maintain reliable integration across PostgreSQL, Power BI and Power Apps environments
• Implement data governance, data standards and automated quality checks
• Collaborate with stakeholders to define requirements and deliver data solutions
• Enhance existing analytics and reporting workflows to drive business improvement
• Support continuous optimisation of CI/CD and version control processes
• Apply strong problem solving to improve data, processes and delivery standards
• Contribute to establishing data engineering as a strategic capability in the business

Qualifications

🛠 Essential Skills

• Senior experience in data engineering leadership roles
• Strong SQL and Python capability in production environments
• Proven Azure data engineering and architecture experience
• Skilled in ETL and data automation design and delivery
• Experience of data integration including APIs
• Ability to mentor and guide technical team members
• Strong communication and stakeholder engagement skills
• Knowledge of CI/CD and version control platforms

✔️ Desired Skills

• Experience integrating low code platforms with data solutions
• Understanding of AWS or other cloud ecosystems
• Background in business process improvement
• Interest in applying AI within data solutions
• Experience with Power Platform and enterprise analytics

Additional Information

🌟 Why You Should Apply

Join us and play a key role in modernising the data landscape that supports some of the UK’s most complex and impactful low-carbon engineering programmes. Here, you will apply your expertise, shape digital direction, and make a real difference within a company where innovation and meaningful work go hand in hand, with your future team supporting your growth and development..

💼 Benefits Include:

✅ Pension scheme — 8% company / 4% employee contribution
🏖️ 25 days’ annual leave + bank holidays + option to buy/sell
🕒 Flexible working options
📚 Professional fees reimbursed
💰 Employee referral bonus scheme
🛡️ Income protection & 3x salary life assurance
🤝 Equal opportunity employer — diversity, inclusion, and innovation at our core

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.

#LI-Hybrid

Due to the nature of work to be undertaken applicants will be required to meet certain residency criteria in order to attain a minimum level of UK security clearance if not already security cleared to a minimum SC level.

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.