Job Reference: 33513
Job Type: Permanent Vacancy
Job Location: Guernsey

Our client is seeking a Data Integration Engineer to join their Guernsey-based team on a permanent, full-time basis. This role offers the opportunity to work in a highly experienced, independent fiduciary and fund administration business specialising in the venture capital sector. You will be responsible for developing and maintaining data pipelines and system integrations within a Microsoft-based ecosystem, ensuring secure, scalable and well-governed data flow across platforms. The role involves working closely with stakeholders to translate complex requirements into efficient and robust technical solutions. Job Duties: Designing and maintaining end-to-end data pipelines in Microsoft Fabric, following a Medallion architecture Building and supporting system integrations including external APIs, Azure Key Vault, SQL and Lakehouse systems Extending internal libraries with clean, testable Python code and ensuring strong documentation and CI/CD practices Optimising performance, cost, and security of data pipelines using tools such as Spark pools, delta format, and data partitioning Contributing to data modelling standards and governance documentation Troubleshooting issues, performing root-cause analysis, and implementing proactive controls and monitoring Documenting solutions clearly and conducting knowledge-sharing sessions with analysts, developers, and stakeholders Collaborating with business units to translate requirements into incremental and testable deliverables Job Requirements: 3–5 years’ experience in data engineering or software development, ideally within financial services or another regulated industry Strong Python skills including Pandas, PySpark, unit testing, and building reusable libraries Experience with Microsoft Fabric or Azure data stack (e.g. Azure Synapse, Data Factory, Databricks, ADLS Gen2) Solid understanding of ETL/ELT processes, Medallion or Data Vault architecture, delta format, and schema evolution Proficient in SQL (T-SQL, Spark SQL) and optimising queries on large datasets Familiarity with DevOps practices including Git, CI/CD pipelines (GitHub Actions or Azure DevOps) Experience integrating REST/Graph APIs and event-driven services, with knowledge of OAuth2.0 and managed identities Working knowledge of data quality frameworks and monitoring tools Degree or equivalent experience in Computer Science, Data Engineering, Mathematics or related field; cloud or data certifications are beneficial What You’ll Love:You will be joining a forward-thinking firm that blends deep technical expertise with a collaborative and inclusive culture. With flexible working, comprehensive benefits, and exceptional career development opportunities, you will enjoy the advantages of working for a smaller, independent company that prioritises innovation, wellbeing, and professional growth. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here  

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