/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call More ❯
in ITIL best practices, experience in supporting bespoke software, experience in supporting cloud infrastructure and hardware , experience in query languages such as SQL and KQL Desirable: Experience in Power BI and the languages used M query and DAX Awareness of programming languages such a Python and C# Experience in or awareness of software requirements gathering Experience in or More ❯
in ITIL best practices, experience in supporting bespoke software, experience in supporting cloud infrastructure and hardware , experience in query languages such as SQL and KQL Desirable: Experience in Power BI and the languages used M query and DAX Awareness of programming languages such a Python and C# Experience in or awareness of software requirements gathering Experience in or More ❯
data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.You'll translate strategic data architecture into robust technical solutions, ensuring the platform is reliable, performant, and well-structured. You'll champion engineering best practices and contribute to standards that improve data quality, consistency, and usability.Your work will ensure the business has … Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of data modelling, governance principles, and BI enablement (Power BI). Knowledge of CI/CD and version-controlled development practices in git. Desirable: Experience with enterprise systems (CRM, BSS/OSS), data migration projects, and supporting platformMore ❯
involves architecting and optimising scalable data pipelines to support advanced analytics, AI/ML initiatives, and actionable insights across the organisation.You'll take full ownership of the Snowflake platform implementation and adoption, ensuring it becomes the central hub for trusted, secure, and high-performing data. Acting as the technical authority, you'll define best practices, establish governance frameworks … and mentor engineers and analysts to maximise platform value.This is an opportunity to shape the data landscape and deliver solutions that empower decision-making and innovation. Key Responsibilities Platform Leadership: Design, implement, and manage Snowflake as the enterprise data hub, ensuring scalability, security, and performance. Data Architecture & Strategy: Define frameworks for ingestion, replication, storage, and transformation … Implement data quality, lineage, and access control aligned with regulatory and security standards. Innovation: Drive adoption of advanced Snowflake features (Snowpark, Streams, Tasks, Secure Data Sharing) to enhance platform capabilities. Mentorship: Guide and develop data engineers and analysts in best practices and technical excellence. Stakeholder Collaboration: Work closely with business teams to deliver scalable data products for analytics More ❯
