Your New Role We're seeking a Senior Data Engineer to help shape and maintain a modern enterprise data platform. In this role, you'll design and optimise scalable data pipelines and models that bring 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 access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML … capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation More ❯
Your New Role We're looking for an experienced Principal Data Engineer to lead the development and evolution of a modern enterprise data platform. This strategic, hands-on position 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 … 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 across diverse data sources. Pipeline Development: Build efficient ELT pipelines using tools such as DBT and Python, integrating operational, financial, and network data. Performance Optimisation: Configure Snowflake warehouses and partitioning strategies for cost efficiency and speed. Governance & Compliance: Implement data quality, lineage, and access control More ❯
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial … and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models … scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor More ❯
work and gain broad exposure to a number of areas including: OmniStudio/Communications Cloud: FlexCards, OmniScripts, DataRaptors, and Integration Procedures. Understanding of EPC (Enterprise Product Catalog) and telecom data models is a plus Salesforce CPQ: Hands-on experience with Salesforce CPQ configuration and customization. Understanding of quote-to-cash processes and CPQ automation (rules, pricing, approvals) APIs & Integration More ❯
gain broad exposure in several areas including: UI/UX Development OmniStudio/Communications Cloud: FlexCards, OmniScripts, DataRaptors, and Integration Procedures. Understanding of EPC (Enterprise Product Catalog) and telecom data models is a plus. Salesforce CPQ: Hands-on experience with Salesforce CPQ configuration and customization. Understanding of quote-to-cash processes and CPQ automation (rules, pricing, approvals) APIs & Integration More ❯
gain broad exposure in several areas including: UI/UX Development OmniStudio/Communications Cloud: FlexCards, OmniScripts, DataRaptors, and Integration Procedures. Understanding of EPC (Enterprise Product Catalog) and telecom data models is a plus Salesforce CPQ: Hands-on experience with Salesforce CPQ configuration and customization. Understanding of quote-to-cash processes and CPQ automation (rules, pricing, approvals) APIs & Integration More ❯
