Data Engineer

Data Engineer (Contract) – Edinburgh Hybrid (2–3 days onsite) £500/day (Inside IR35) | 6-month initial engagement Overview We’re seeking a Senior Data Engineer to join a high-performing data team responsible for delivering robust, scalable and well-governed data pipelines that power reporting, analytics and downstream data products across the business. This role has a strong hands-on engineering focus, combined with technical leadership across more complex delivery work. You’ll help shape how trusted data moves from source systems into modern cloud-based platforms, ensuring it is reliable, secure, well-documented and AI-ready. You’ll work closely with Data Owners, Analysts, Architects and Platform Engineers to translate requirements into well-engineered solutions and promote consistent engineering standards across the wider team. Key Responsibilities You will: • Design, build, test, deploy and maintain scalable data pipelines and data products from source systems through to analytics and reporting layers • Provide technical leadership across complex or cross-functional delivery work • Own and support key data pipelines, including incident resolution, root cause analysis and controlled releases • Deliver solutions aligned to agreed CI/CD practices, engineering standards and architectural principles • Implement and maintain data quality checks, monitoring, alerting and automation • Ensure data pipelines meet requirements for security, lineage, documentation, naming conventions and governance standards • Translate business and analytical requirements into robust technical designs • Collaborate with stakeholders across Data, Analytics, Governance and Engineering functions • Contribute to continuous improvement, reusable patterns and engineering best practice adoption • Provide mentoring and guidance to other engineers where required Core Technology Stack (Must Have Front and Centre) • Snowflake – primary cloud data platform for warehousing and analytics • Microsoft Azure – cloud infrastructure and data services • dbt (Data Build Tool) – transformation layer and analytics engineering • Microsoft Fabric – pipeline orchestration and integrated data platform services Desirable Skills • Alteryx – beneficial for workflow automation and data blending use cases • Oracle Database – advantageous for legacy or enterprise source system integration What We’re Looking For • Strong experience in data engineering within modern cloud environments • Proven delivery of scalable, production-grade data pipelines • Strong understanding of CI/CD, DevOps principles and automated testing in data environments • Experience working with complex source systems and transforming data into analytics-ready structures • Confident working with stakeholders to define and deliver data requirements • Strong focus on data quality, governance, observability and operational excellence Working Arrangements • Edinburgh-based hybrid working (2–3 days per week onsite) • 6-month initial contract • £500 per day (Inside IR35) Why Apply? This is a great opportunity to work on modern data platforms using leading cloud technologies, shaping scalable data solutions that directly enable analytics, insight and business decision-making in a highly collaborative engineering environment. Bright Purple is proud to be an equal opportunities employer. We partner with clients who value and actively promote diversity and inclusion across the technology sector.