Senior BI/Data Engineer

In this Senior BI/Data Engineer role, you will modernize and scale ACT’s Data Platform, owning key components and driving architectural standards. You’ll design reliable data pipelines, enterprise data models, and scalable analytics assets, collaborating with cross-functional teams to deliver impactful data solutions. You’ll shape the platform roadmap, emphasize automation, performance, security and cost efficiency, and explore Generative AI applications to enhance development and operations. This role offers exposure to Microsoft Fabric and Databricks within a modern cloud data stack and a culture of ownership and continuous improvement. You will communicate technical decisions clearly and–

• Own and continuously improve core Data Platform components and engineering standards
• Design and implement integrations for new source systems and maintain data pipelines
• Develop enterprise data models (relational and dimensional) and document them
• Build, optimize, and operate data pipelines and orchestration (ADF, Fabric, Functions, Logic Apps)
• Plan data migrations with validation, reconciliation, data quality controls and monitoring
• Contribute to platform modernization using Microsoft Fabric and Databricks
• Develop and maintain semantic models to enable scalable Power BI reporting and AI use cases
• Translate business requirements into sustainable technical solutions and communicate choices clearly
• Demonstrate data/analytics solutions to stakeholders and support adoption through documentation and knowledge sharing

• A degree in Computer Science, Information Technology, Business Information Technology, Data Engineering or equivalent
• 5+ years of data engineering experience with Azure or another major cloud platform
• Hands-on experience with Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake
• Strong SQL skills and Python for data engineering, automation or testing
• Knowledge of data architectures (data warehouses, data lakes, lakehouse) and data modelling
• Experience designing and optimizing data transformations, SQL workloads and pipelines
• Experience with Power BI, semantic models, or similar analytics tools (advantage)
• Experience with Git, automated testing, and CI/CD for data solutions
• Knowledge of Azure data services (ADF, Functions, Logic Apps, Synapse, Azure Automation) (advantage)
• Knowledge of streaming/Event-driven architectures or real-time analytics (advantage)
• Collaborative, proactive mindset with strong communication and willingness to learn/share

• collaborative
• proactive
• ownership
• Microsoft Fabric
• Azure Data Factory
• Azure Functions