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The Senior Data Engineer will design, build, and manage enterprise data pipelines and Lakehouse architectures using Microsoft Fabric. The role focuses on integrating data from ERP, manufacturing, and supply chain systems to support analytics and self-service BI.
This role involves building and productionizing Databricks lakehouse data products within a financial services environment. The engineer will design data pipelines using Spark, Python, and SQL while implementing governance via Unity Catalog across Azure and Google Cloud platforms.
The Senior Data Engineer will design and implement data pipelines using Azure Synapse and ADF to support a modern data platform. The role involves migrating from IBM DataStage, optimizing SQL, and mentoring offshore engineering teams.
The Senior Global Data Platform Engineer will design and evolve overseas data warehouses and platforms for mobile, IoT, and app data. The role involves architecting scalable data processing systems and creating analytics applications using big data technologies like Spark, Flink, and Hadoop.
Lead data engineer bridging business and technical teams, designing scalable data infrastructure (Medallion architecture, data lakes, batch/real-time pipelines), managing vendor relationships, platform operations, and mentoring engineers using Python, SQL, Databricks, Spark, Kafka, and cloud platforms.
Senior Data Engineer building scalable data solutions on Microsoft Azure, including Databricks pipelines, Data Factory, Data Lake Storage, and Power BI dashboards, using SQL and Python.
Senior Data Engineer designing and operating QL Group's enterprise Lakehouse platform on Microsoft Fabric, building ETL/ELT pipelines, data ingestion from ERP/supply chain systems, and analytics-ready data assets.
Senior Data Engineer owning ETL/ELT pipelines, data warehouse design, and streaming data systems for Carousell Group's recommerce marketplace (Mudah.my), using SQL, Python, Apache Airflow, and cloud data warehouse technologies.
Design, build, and manage data and systems infrastructure, develop scalable data warehouses, and integrate data from operating technologies (OT) into a unified view using Python, Java, or Scala.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines within a cloud-based data ecosystem. The role involves using Python, SQL, Spark, and cloud technologies to support data-driven decision-making across the organization.
The Senior Data Engineer will develop and maintain data ingestion pipelines and support internal data platforms within the Ørsted Data Ecosystem. The role involves using Python, SQL, and Spark to build scalable, secure, and stable data solutions to support organizational decision-making.
Senior Data Engineer at Ørsted Asia Pacific building and maintaining production-grade data ingestion pipelines, ensuring high-performance data delivery for analysts and ML models, while advancing data platform governance and pipeline orchestration.
The Data Engineer will build and maintain scalable data pipelines and storage solutions to support analytics and business intelligence. The role involves working with Python, SQL, and Azure-based data platforms within a global, cross-functional team.
The Senior Data Engineer will build and maintain scalable data ingestion pipelines and platform capabilities using Spark, SQL, and Python within a cloud environment. The role involves collaborating with cross-functional teams to support data governance and security initiatives.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines using Spark, PySpark, Kafka, and NiFi. The role involves working within AWS and Azure cloud environments and utilizing container technologies like Kubernetes and Docker to support data-driven decision-making.
The Senior Data Engineer will develop and maintain cloud-based data ingestion pipelines and platform solutions to support data-driven decision-making across the organization. The role involves working with Python, SQL, Spark, and various cloud and container technologies to ensure data stability and performance.
The Data Engineer will design, build, and manage data infrastructure to support data-driven decision-making. The role involves integrating data systems using Python, Java, or Scala.
The Data Platform Engineer will design and maintain a central data platform to support analytics and AI/ML initiatives. The role involves building scalable data pipelines and integrating batch and streaming processes using technologies like Delta Lake, Spark, and Snowflake.
The Data Engineer will design, build, and maintain a central data platform to support analytics and AI/ML initiatives. The role involves developing data pipelines using Apache Spark, Snowflake, and Databricks while ensuring data quality and security.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines within a cloud-based ecosystem to support data-driven decision-making. The role involves working with Python, SQL, Spark, and various cloud and container technologies to build and optimize data platforms.
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