Data and BI Engineer

Requirements

• Experience in data engineering and/or BI development roles (3–6 years typical)
• Strong experience with Power BI (dashboard development, DAX, modelling)
• Strong SQL skills for querying and transforming data
• Experience integrating Salesforce data
• Experience working with Service Now data or APIs
• Experience designing and managing ETL/ELT pipelines
• Solid understanding of data modelling (star schema, dimensional modelling)
• Strong analytical and problem‑solving skills
• Excellent communication skills with stakeholders
• (Desirable) Experience with Microsoft Fabric
• (Desirable) Understanding of medallion architecture (Bronze, Silver, Gold layers)
• (Desirable) Experience with cloud platforms (Azure preferred)
• (Desirable) Experience working with APIs and automation
• (Desirable) Exposure to Certinia / financial or resource management data
• (Desirable) Background in telecoms, services or consulting environments
• Highly detail‑oriented with strong focus on data accuracy
• Proactive, self‑driven and solution‑focused
• Strong collaboration and stakeholder engagement skills
• Comfortable working in a fast‑paced, evolving environment

• We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid‑Level) reporting into our Global Data Integration and Systems Manager
• Reporting To Jason Gopaul
• This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as Service Now and Salesforce, and delivering high‑quality reporting and insights through Power BI
• The successful candidate will play a key role in shaping Sabio’s data landscape, ensuring data is reliable, accessible and optimised for business decision‑making
• Design, build, and maintain scalable data pipelines across multiple systems
• Develop and manage ETL/ELT processes to ensure high‑quality, reliable data
• Integrate data from enterprise platforms including Service Now, Salesforce and other systems
• Implement and support modern data platforms, including Microsoft Fabric
• Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows
• Ensure data governance, security and performance standards are met
• Design, develop, and maintain Power BI dashboards and reports
• Build and maintain semantic models, measures and calculated logic (DAX)
• Translate business requirements into scalable data models and visualisations
• Optimise report performance, usability and consistency
• Deliver actionable insights to support business decision‑making
• Ensure accuracy, completeness and integrity of data across systems
• Manage data pipelines and support data quality frameworks
• Identify and resolve data issues, inconsistencies and gaps
• Continuously improve data processes and reporting workflows
• Work closely with business stakeholders to gather reporting requirements
• Collaborate with cross‑functional teams across technology and operations
• Present insights clearly to both technical and non‑technical audiences
• Support adoption and effective use of dashboards and reporting tools