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Analytics Engineer owning the data modelling layer on Microsoft Fabric/dbt, building transformation logic and semantic layers to deliver trusted datasets for Power BI reporting at an energy supplier.
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.
Builds and optimizes data pipelines, APIs, and cloud-based solutions using Azure Synapse, Databricks, and Python to process JSON inputs and support scalable data warehousing for business stakeholders.
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 building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Role: Data Engineer (Power BI and Azure) Location: Raleigh, NC - Hybrid Key Responsibilities: Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory,…
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.
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.
Designs and manages cloud-based data architecture for clients, ensuring efficient data integration, storage, and security while collaborating with cross-functional teams to meet business objectives.
Data Engineer in Argentina designing and maintaining scalable ETL/ELT data pipelines on the Microsoft Azure Data Platform (Synapse Analytics, Databricks, Data Factory) to enable enterprise analytics and reporting.
Design and develop scalable data processing solutions and REST APIs on Azure/Databricks for a sales planning and analytics platform serving a premium German automotive OEM.
Builds and maintains a medallion architecture (bronze/silver/gold) for retail data integration, using Azure Synapse, Fabric, and Databricks to connect data sources, transform data, and generate business reports.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
The Data Engineer will design and implement data pipelines and PySpark notebooks within Microsoft Fabric for an insurance industry client. The role focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
This Data Engineer role involves designing and implementing data pipelines using Microsoft Fabric, PySpark, and SQL to support analytics and data integration. The position requires experience with cloud data platforms and a focus on data quality, CI/CD, and performance optimization.
Builds and maintains data pipelines in Microsoft Fabric and Azure for a fintech client, transforming raw data into clean, auditable datasets using PySpark and SQL.
Design and implement data pipelines in Microsoft Fabric using Data Factory and PySpark notebooks for an insurance-industry project, working hybrid from Warsaw on a B2B basis.
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