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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.
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 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.
The Software Developer will build and maintain internal tools and external-facing applications using a full-stack tech stack including React, TypeScript, and Python or Node.js. The role involves integrating third-party platforms and ensuring code quality and security across company systems.
Own the technical pre-sales cycle for Databricks consulting engagements at a data/AI/analytics firm—leading discovery, designing lakehouse architectures, building demos, scoping SOWs, and handing off to delivery teams.
The Data Architect/Engineer will own and operate an AWS-based data hub and Customer Data Platform, managing end-to-end data ingestion, identity resolution, and cross-cloud pipelines between Azure and AWS. The role involves building ETL pipelines, ensuring data security and compliance, and collaborating on BI reporting and AI-driven personalization.
PT Datacaraka Solusindo is seeking a Data Engineer to design and maintain scalable data pipelines using Apache NiFi, Kafka, and the Cloudera Hadoop ecosystem. The role involves optimizing SQL queries for big data analytics and collaborating with DevOps to deploy applications via Docker and Kubernetes.
The Data Engineer will design, build, and maintain scalable data pipelines, warehouses, and marts while ensuring data quality and security. The role involves collaborating with cross-functional teams using SQL, Python, and various data architecture tools to support business requirements.
The Data Engineer will design, build, and manage data warehouses and data marts by translating business requirements into scalable data processes. The role involves collaborating with data modelers and requires experience in data ingestion and integration.
Freelance Data Engineer in Indonesia responsible for designing, building, and maintaining a scalable ClickHouse-based data warehouse, including ETL/ELT pipelines, data modeling, SQL optimization, and integrating with Metabase BI tools.
The Data Engineer will design and maintain scalable data pipelines and data warehouses to support business requirements. The role involves managing data ingestion, batch processing, and ensuring overall data quality in collaboration with analytical teams.
The Quantitative Software Developer will maintain and develop the Global Quant research platform using C# and Python to support equity analysis, risk models, and portfolio optimization. The role involves collaborating with Quant Analysts to productionize research models and automate workflows within a front-office environment.
The Data Engineer will design and build complex, on-premise data pipelines from scratch to support AI applications, focusing on offline-first architectures and handling diverse data types like video and sensor data. The role requires strong Python and SQL skills to manage data ingestion, transformation, and storage on self-managed infrastructure.
Design, develop, and optimize scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and Microsoft Azure, collaborating with cross-functional data teams.
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