Data Engineer (Data & AI)

At Nucleo, we are a purpose-driven advisory and technology consulting firm specialising in Enterprise Solutions and Data AI. We partner with ambitious organisations to deliver transformative projects that create measurable, long-lasting value. Collaboration is at the core of everything we do—both with our clients and within our teams. With over 60 in-house experts, we deliver bespoke, end-to-end solutions across ERP, CRM, asset management systems, automation, and advanced analytics. The result: seamless implementation, clear stakeholder alignment, and lasting business impact. The Team Nucleo’s Data AI services are designed to strengthen how organizations manage, analyze and use data – supporting smarter insights, advanced analytics and scalable AI. Built for organizations that need clarity, confidence and control, our services provide reliable data foundations that support both day-to-day operations and future innovation. Our approach spans data governance, engineering, analytics, and applied AI to create connected, reliable data environments. By improving data quality, integrating systems and applying AI where it delivers the most impact, we reduce risk, improve efficiency, and establish reliable data capabilities. The Role As a Data Engineer at Nucleo you will play an integral role in the delivery of data focused projects in our growing Data AI practice . You will work directly with Clients and Nucleo Project teams, taking ownership of project deliverables and be responsible for collecting, analysing , and interpreting data to ensure high quality of data and governance. The Data Engineer will be required to work closely with stakeholders to define data requirements, define data architecture, and support the reporting teams to enhance data driven decision-making. Responsibilities Lead key data analytics and improvement activities such as Data capture, preparation, validation and analysis activities Ensure data quality and governance compliance Advise and design development of data quality improvement solutions Lead extract, transform and load (ETL) activities Assist in supporting stakeholder on strategic data driven decisions Support key business readiness activities Lead and manage data focused projects . Work with stakeholders to document business, data and system requirements Make recommendations and advise on solutions Take ownership of projects deliverables Build effective long-term relationships with clients Requirements Experience with Power BI, Python, or automation tools within the Microsoft stack. 4 + years’ relevant experience Bachelor’s Degree in Information Systems Technology , Business or Commerce, Engineering, Data Analytics, or relevant domain. Fluency in English both written and verbal Ability to explore and build strong relationships with internal and external stakeholders Strong analytical and statistical skills Proficiency in data manipulation tools (Excel, SQL or other equivalent) Ability to communicate data-driven insights effectively Experience of Master Data Management, Data Governance and Data Quality initiatives Possess a deep understanding of database technologies, data modelling, and data integration principles Familiarity with DevOps, CI/CD, and data governance frameworks. Experience designing or supporting AI/analytics initiatives. Benefits Wellbeing Support - We offer health insurance, an employee assistance programme , and a mental health day to support your physical and mental wellbeing. Pension Scheme - We can help you plan for the future with a dedicated pension scheme and access to personal finance support. Flexible Locations - Our teams work on a hybrid model, helping to support a positive work-life balance while also enhancing team connection and structure Learning Development - We encourage ongoing professional advancement with training, courses and tools to keep you growing Bonus and Referrals - We reward ... (truncated, view full listing at source)