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Leads the Data Engineering function, owning strategy, architecture, and delivery across a Microsoft Fabric-led data estate. Requires expertise in Microsoft Fabric, Delta Lake, medallion patterns, and enterprise data integration with platforms like Salesforce and Workday.
The IT Data Engineer designs, builds, and maintains scalable data pipelines and cloud-based data architectures to support business intelligence and analytics. The role focuses on ETL/ELT processes, data quality management, and cloud platform administration using technologies like SQL, Python, and Azure.
This Data Engineer/BI Developer role involves designing and implementing data pipelines, migrating legacy ETL workloads to Microsoft Fabric, and building analytics solutions using Power BI. The position requires extensive experience with the Microsoft data stack and involves working directly with clients in a consulting capacity.
Key Responsibilities Lead the migration of Tableau reports, dashboards, and data sources to Power BI. Assess existing Tableau assets and define migration strategy, standards, and best practices. Design and develop…
Builds cloud-native observability infrastructure for Azure Monitor, including telemetry collection, processing, and full-stack features using React, JavaScript, and C# to power AI-driven monitoring at massive scale.
Builds cloud-native observability infrastructure for Azure Monitor, processing billions of metrics and exabytes of logs daily using C#, JavaScript, and React.
The Databricks Expert will design and implement big data architectures and pipelines, bridging the gap between data engineering and data science. The role focuses on cloud-native data acquisition, transformation, and loading using Databricks, Apache Spark, and the Azure ecosystem.
Principal engineer building hyperscale telemetry pipelines and observability services for Azure Monitor, using Rust/C++/Go/Python to modernize data collection and processing at exabyte scale.
Data Engineer at an AI-enabled software consultancy building, deploying, and monitoring performant data pipelines for Fortune 1000 clients using SQL, MPP platforms (Snowflake, Databricks, etc.), cloud services, and transformation tools.
Design, build and operate an enterprise Lakehouse data platform on Microsoft Fabric, developing ETL/ELT pipelines and data ingestion from ERP, manufacturing and supply chain systems for a large Malaysian agrofood group.
Designs and builds Azure Synapse/ADF pipelines for data integration, migrates IBM DataStage workloads, and mentors offshore engineers while collaborating with onshore leads on data architecture and SQL transformations.
Build and maintain scalable Azure-based data pipelines and ETL processes to deliver analytics-ready models for business insights.
The Data Engineer will design, develop, and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure data quality across the organization's data lakehouse.
The Data Engineer will design, build, and maintain ETL pipelines, data warehouses, and data lakes to support analytics and ML workflows. The role requires proficiency in Python, SQL, and PowerBI to deliver scalable data solutions for the Oil & Gas sector.
Job Title: Production Support Engineer (Market Risk, Azure Data Factory & Databricks) | IrisStar Technologies | Dubai, UAE Recruiting Company: IrisStar Technologies Job Location: Dubai, United Arab Emirates Job…
Who we are Kick-start your career in the online gaming world and experience the very latest in technology and innovation. We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s…
As a Lead Data Engineer, you will drive the modernization of BI and data warehouse solutions by analyzing existing environments and implementing scalable, sustainable data platforms. You will act as a technical leader and hands-on developer, working closely with architects and stakeholders to guide technical strategy.
The Data Platform Administrator will design, maintain, and optimize an Azure-based enterprise data platform using Databricks to support organizational analytics and reporting. The role involves integrating data from legacy systems, managing data governance, and creating dashboards to enable data-driven decision-making.
Mid-level Data Engineer on a 6–12 month contract building data pipelines, models, and dashboards using Databricks, PySpark, Azure Data Factory, and Power BI for an award-winning Australian organisation.
Lead Data Engineer designing, building, and operating enterprise-scale Azure data platforms (Data Factory, Synapse, Databricks, Data Lake Storage, Fabric) to drive advanced analytics and data-driven decision making at Rabobank Australia.
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