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Build and maintain data pipelines, ETL/ELT processes, and cloud-based data lakes/warehouses using Azure and Databricks to deliver clean, secure data for analytics and AI.
Junior Data Engineer helping build and maintain scalable ETL/ELT pipelines and database infrastructure to support AI and advanced analytics solutions, primarily using Python and SQL.
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The role involves developing data models, ensuring data quality, and implementing security and governance standards for enterprise data solutions.
The Assistant Vice President will lead the design and operation of modern data platform capabilities, including lakehouse architecture and data pipelines, to support investment management. The role involves hands-on engineering with Spark, Python, and SQL while providing technical leadership to a team.
Senior Data Engineer leading data engineering delivery for data lakes, platform modernization, and reporting solutions at Manulife in Hong Kong, using Azure Cloud, Databricks/Spark, and AliCloud big data tools.
Builds and maintains data pipelines, lakehouse architecture, and BI tools (e.g., Qlik Sense) to transform raw data into actionable business insights for Telia Finance’s decision-making.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Design, develop and optimise Microsoft Fabric data solutions, migrating Power BI reports to Fabric and building semantic models to power finance reporting and analytics across multiple data domains.
Build and optimise enterprise reporting and analytics solutions on Microsoft Fabric and Power BI, focusing on finance reporting, semantic models, and stakeholder engagement in a hybrid London role.
Designs and builds scalable Databricks-based data architectures to power analytics and AI initiatives for a growing enterprise.
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Lead Software Engineer at Nike manages technical projects, data pipelines, and team performance, focusing on scalable data solutions, LakeHouse architectures, and optimizing data workflows using Spark, SQL, Python, and cloud services.
Function Product Management Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks…
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
The Principal Software Engineer will architect end-to-end data solutions, lead cloud migrations, and design scalable data pipelines using big data and GenAI technologies. This role involves mentoring junior engineers and collaborating with stakeholders to implement data-intensive applications and infrastructure.
The Lead Software Engineer will architect and lead the development of scalable data engineering infrastructure, focusing on cloud migrations, data modeling, and real-time data pipelines. The role requires extensive experience with big data technologies, cloud platforms like AWS/Azure/GCP, and leading technical teams in a product-based environment.
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