Data Engineer Job at Belfast Full Time

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 New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK. How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job? If youre aiming for a career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience with every modern tool in the data stack, you wont even get a callback. Heres the honest truth most data engineering hiring managers will quietly agree with: ?? They dont hire you because you know every tool they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed. What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide) If youre applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers dont read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration and if they dont see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application and how to shape your CV, portfolio and cover letter so you stand out.TPBN1_NI