Data Engineer

Analytics Engineer – Retail Location: Central London (hybrid working - 3 days onsite) Contract: 6 months initially, starting ASAP Day Rate: £550 per day Inside IR35 (TBC) We’re looking for a talented Analytics Engineer to help shape the future of data at one of the UK’s leading retail organisations. This is your chance to work with a dynamic team and cutting-edge technologies, driving real impact through data-driven insights and innovation. 🌟 What You’ll Do As an Analytics Engineer, you’ll sit at the intersection of data engineering, architecture, and analytics — turning raw data into reliable, well-modelled, and business-ready insights. You’ll: • Design, build, and maintain robust data models and pipelines across Snowflake, DBT, and Azure/AWS environments • Implement scalable Data Vault architectures to enable flexible and efficient analytics • Write and optimise complex SQL for performance, scalability, and accuracy • Collaborate with Data Architects, Engineers, and Analysts to deliver trusted data solutions • Ensure data quality and governance through validation, monitoring, and automation • Translate business needs into actionable data models and insights that empower decision-making 🧠 What You’ll Bring • Proven expertise in SQL, Snowflake, DBT, Data Modelling, and Data Vault • Strong understanding of data warehousing concepts and modern data architecture • Hands-on experience with cloud platforms (Azure or AWS) • Familiarity with Git, CI/CD pipelines, and modern data engineering practices • Excellent problem-solving, communication, and stakeholder engagement skills • Background in retail data or large-scale data environments is highly desirable Nice to Have: • Exposure to Power BI or MicroStrategy • Experience with Terraform / Terragrunt • Interest in Generative AI and automation in analytics 💡 Why Apply? • Be part of a high-impact, data-led transformation in a major UK retail organisation • Work with cutting-edge tech and modern cloud-first data platforms • Collaborate with a talented, supportive team that values innovation, curiosity, and continuous learning • Opportunity to influence architectural decisions and deliver data products that drive business value If you’re passionate about clean, scalable, and insightful data — and love solving complex problems — we’d love to hear from you. 📩 Apply today to be part of a project where your work truly shapes the future of retail data! Please note that due to the volume of applications we receive, we are unable to provide feedback on all applications.