Data Engineer

Version 1
Belfast
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Were an award-winning employer reflecting how our employees are at the very heart of Version 1 and what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW Were a core values driven company, we hire people who share our values, and we reward those who display and foster them, its deeply embedded within our DNA. Invest in us and well invest in you! Job Description We are seeking a skilledData Scientist / Data Engineerto join our team and play a key role in designing, developing, and delivering high-quality data solutions. This role combines strong analytical capability with practical engineering skills to build robust data pipelines, develop predictive models, and generate insights that support data-driven decision-making. The ideal candidate will have hands-on experience across SQL, Python or R, modern cloud platforms, machine learning techniques, and visualisation tools. They will be comfortable working in an agile environment, collaborating across teams, and ensuring the reliability, accuracy, and integrity of data assets. Applicants must be: UK resident without the need for visa sponsorship Based in Belfast, with the ability and willingness to work on-site 23 days per week. Excellent communications skills, both written and verbal in the English language Qualifications Required Skills & Experience Strong proficiency in SQL, Python, and/or R. Experience with machine learning model development and evaluation. Hands-on experience with ETL tools and SQL development platforms. Working knowledge of cloud environments (Azure, Fabric, AWS). Ability to work with large datasets and apply data quality principles. Ability to present complex insights in a clear and simple manner. Experience working in Agile delivery teams. Database & Cloud Management Experience working with relational databases such as Microsoft SQL Server and Oracle. Ability to use cloud services across Microsoft Azure, Microsoft Fabric, and AWS to support data pipelines and analytics workloads. Visualisation & Reporting Experience building dashboards and reports using Power BI or Tableau. Ability to translate analytical findings into compelling visual narratives for stakeholders. Desirable Skills Experience with additional ML interpretability methods (e.g., SHAP, LIME). Knowledge of CI/CD practices for data workflows. Understanding of data governance, lineage, and cataloguing tools. Exposure to modern data platforms or Lakehouse architectures. Personal Attributes Strong analytical thinker with excellent problem-solving skills. Collaborative and confident working with cross-functional teams. Self-motivated, curious, and comfortable learning new tools or technologies. Detail-oriented with a commitment to high data quality. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits drop us a note to find out more. Ekta Bahl - Talent Acquisition Capability Partner #LI-EB1

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.