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Leads end-to-end data platform strategy, governance, and optimization for an enterprise, focusing on Microsoft Fabric, Azure Synapse, and related tools to modernize data infrastructure, ensure scalability, and deliver actionable insights for business stakeholders.
Data Engineering Lead responsible for end-to-end ownership of Digital Engineering and Data Platforms, providing leadership across data integration, warehousing, analytics, automation, and reporting using technologies like Microsoft Fabric, Azure Synapse, and Informatica.
Data Engineering Lead overseeing Microsoft Fabric, Azure Synapse, and enterprise data platforms—driving data modernization, ETL governance, BI strategy, service delivery, and team leadership on-site in Queensland.
Leads end-to-end data platform strategy, governance, and delivery for an IT solutions provider, overseeing Azure Synapse, Microsoft Fabric, Informatica, and BI tools to modernize data infrastructure and drive business insights.
Lead the design and build of a modern, enterprise-scale data platform for a Federal Government program, using Databricks, Microsoft Fabric, and cloud tech to support analytics, AI, and decision-making.
Senior Data Engineer leading the migration from legacy SQL Server and traditional data warehouses to a modern Microsoft Fabric platform, combining hands-on PySpark/SQL development with stakeholder consulting and technical leadership.
Azure Data Engineer designing and building cloud-based data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and Python for a consulting business.
Data Engineer and Report Developer on a 12-month contract with a Queensland Government Department, responsible for ETL development, data warehouse maintenance, and building Power BI reports using the Microsoft data stack (SQL Server, SSAS, SSIS, SSRS, Microsoft Fabric, DevOps).
Lead Data Engineer on a major Federal Government program designing and building enterprise-scale data pipelines and Lakehouse architectures using Databricks, Microsoft Fabric, and Azure cloud technologies.
Senior Data Engineer designing, building and supporting a modern data platform during a major migration to Microsoft Fabric, combining hands-on engineering with technical leadership and platform optimisation.
Principal Software Engineer designs and implements high-performance vector search and information retrieval systems for Azure’s data platform, using C++, Rust, or Python to power AI-native applications.
Power BI Developer building and maintaining dashboards and reports for VMS/MSP program data using Power BI (DAX, Power Query), SQL, and integrating with VMS platforms like Fieldglass, Beeline, and VNDLY.
The Principal Data Engineer leads the technical design and hands-on development of IAA’s Azure-based data platform, focusing on ingestion, transformation, storage, and delivery. They architect scalable, reliable pipelines and semantic models to power BI, analytics, forecasting, and AI solutions while mentoring engineers and influencing cross-functional stakeholders.
Data Engineer on a Microsoft Fabric project designing and maintaining data solutions using SQL, Python, Data Lake, and Lakehouse technologies in a hybrid setup in Madrid.
Overview We are looking for an AdTech Clean Room Senior Software Engineer to join Microsoft's AdTech Engineering organization. This role will be responsible for designing, building, securing, and operating the…
We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar…
Leads Michels Corporation’s enterprise data strategy, defining and prioritizing data products to enable self-service analytics, reporting, and AI across the organization’s operations. Focuses on cloud-based data platforms and governance to drive business decisions.
Leads a new data engineering team to build Michels’ enterprise data platform, designing pipelines and governance to deliver trusted, AI-ready data products for analytics and operational insights.
Build and maintain scalable cloud data solutions using Python, PySpark, and Azure tools like Snowflake, Databricks, and Fabric to deliver analytics for government, energy, retail, and finance clients.
As a Senior Azure Data Engineer at ilionx, you will design and build scalable data solutions and pipelines using Azure, Databricks, Snowflake, and Python. You will work on diverse projects across sectors like healthcare and finance, while exploring the integration of generative AI into data platforms.
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