Solution Architect

Centrica
Windsor
2 months ago
Applications closed

Related Jobs

View all jobs

Data & AI Solution Architect, Azure, Remote

Microsoft Data Solution Architect

Data Engineer - Python & Azure

Data Engineer - Python & Azure

▷ 15h Left! Sr. Delivery Consultant - Data Scientist, AWSProfessional Services Israel

Lead Data Scientist[975963]

Join us, be part of more. 

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team: 

You’ll be working centrally within our mission control room, aka Centrica’s group functions. From Finance and Data Science, to our Wellbeing and People teams - this is the engine of our energy system, where our various Centres of Excellence power up each of our brilliant businesses, ensuring they have all the support, technologies, and capabilities they need to get our customers to Net Zero by 2050.

About your role:

We’re looking for a Software Architect to lead the design and implementation of high-level software architectures, collaborating with cross-functional teams—including machine learning and data scientists and external product teams—to deliver innovative solutions aligned with business objectives. This role exists to ensure the development of scalable, efficient, and integrated software systems while leading the team to uphold best practices and achieve project goals. We’re seeking an experienced and adaptable Software Architect with strong leadership abilities and expertise in collaborative, cloud-based software development, ideally in a corporate research environment. 

The team is currently primarily in Antwerp, Belgium but we are building a Windsor, Berkshire-centred team to match. This is a hybrid working position, based in Windsor, Berkshire (2 days on-site). It will be useful to be able to travel between the locations.

Key responsibilities will include:

Solution Architecture and Design 

Design and oversee high-level software architectures aligned with business objectives. 

Apply data engineering principles to design efficient data pipelines and storage. 

Integrate solutions seamlessly with machine learning models and data science workflows. 

Technical Leadership and Collaboration 

Collaborate closely with researcher engineers, data scientists, software and DevOps engineers, to ensure the quality of solutions. 

Promote best practices within the team, including rigorous testing, code review, continuous integration/continuous deployment (CI/CD) techniques, and well-maintained documentation. 

Introduce innovative solutions using emerging technologies. 

Team Leadership and Development 

Lead and mentor a team of developers, fostering excellence. 

Enhance team skills in coding practices and technical competencies. 

Conduct performance evaluations and support career growth. 

Here's what we’re looking for:

Professional experience 

A bachelor’s degree in computer science, Software Engineering, or a related field is required; a master's degree or relevant certifications (such as AWS Certified Solutions Architect) are highly desirable. 

Professional experience in software development, including significant experience in software architecture and team leadership. 

Proven ability to design high-level software architectures aligned with business goals. 

Technical knowledge 

Understanding of data architecture concepts and best practices to support our machine learning and data science activities. 

Experience in architecting and managing scalable cloud-native solutions particularly on AWS. 

Advanced knowledge of Python programming and relevant frameworks. 

Bonus: Working knowledge of other languages, especially JVM-based, Go, or Rust. 

Bonus: Familiarity with some of our other key applications, e.g. web or mobile front-end design, data persistency, IoT devices. 

Leadership and Software Management 

Experience with testing, code review practices, code deployment, and infrastructure management. 

Proven ability to lead and mentor development teams effectively. 

Experience conducting performance evaluations and supporting career growth. 

Skilled in fostering a collaborative and high-performance team environment. 

Communication and Collaboration 

Excellent verbal and written communication skills. 

Ability to collaborate closely with cross-functional teams and stakeholders. 

Skilled in conveying complex technical concepts to non-technical audiences. 

Why should you apply?

We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.


Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.