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We’re partnering with a fast-growing, award-winning, technically-led business that is transforming how organisations across the UK manage their utility services. With a strong focus on sustainability, innovation, and simplifying the customer experience, this company offers a genuinely modern, supportive, and forward-thinking environment, where the Technology team are at the heart of operations. They are now looking to hire a Junior DevOps Engineer to join their Platform Engineering team at an exciting stage of growth, as they scale a key internal product beyond MVP. This is an excellent opportunity for someone early in their DevOps career who is eager to learn, develop, and work alongside experienced engineers in a collaborative setting. Salary: £40,000 – £50,000 + extensive benefits packageWorking Pattern: Hybrid. Flexible days in office / home. Based from our Northeast offices. Suitable areas for this, include: Durham, Hartlepool, Newcastle, Middlesbrough, Peterlee, Sunderland, etc. The RoleThis is a hands-on position where you’ll support the design, build, and maintenance of secure, scalable, and cost-effective cloud infrastructure. You’ll work closely with a multidisciplinary Agile team, contributing to modern DevOps practices and tooling. Key Responsibilities • Collaborate on...

We’re a fast-growing technology consultancy delivering advanced engineering solutions in highly demanding environments. Our model focuses on deploying top-tier engineers into mission-critical projects, combining deep technical expertise with a strong delivery mindset. We’re now hiring a Data Scientist to design and build scalable data solutions for leading organisations. Why Join • Work on high-impact, complex data projects, • Hybrid working with flexibility, • Collaborate with high-performing engineering teams, • Exposure to modern data stacks and cloud technologies, • Clear progression in a growing consultancy The Role You’ll design, build, and optimise data pipelines and systems that support critical business decisions. Key Responsibilities • Build and maintain data pipelines and data-intensive systems, • Process and transform large datasets efficiently, • Ensure data quality, reliability, and performance, • Troubleshoot and improve data products, • Collaborate with stakeholders to deliver solutions About You • 0–3 years’ experience in data engineering or a related field, • Degree from a Russell Group university