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Designs and builds scalable data pipelines to transform complex healthcare data (e.g., OMOP/FHIR) into research-ready datasets, collaborating with data scientists and engineers to ensure data quality, governance, and usability for global health research initiatives.
Data Platform Engineer responsible for designing, building, and maintaining a modern Azure-based lakehouse platform (Delta Lake, medallion architecture) with ETL/ELT pipelines, while driving the transition to Microsoft Fabric.
Designs, builds, and optimizes Azure Databricks-based data pipelines and lakehouses for clients, ensuring reliability, performance, and security while advising on AI and governance improvements.
Lead Solution Architect for a Databricks practice, owning end-to-end data platform architecture, leading presales with C-level stakeholders, and driving large-scale cloud migration programs across APAC using Databricks, Spark, and Delta Lake on Azure/AWS/GCP.
Data Engineer at Singapore's Land Transport Authority owning and scaling data infrastructure, building ETL pipelines and analytics applications on AWS cloud across agile squads.
Build and maintain Samsara’s petabyte-scale data lake and distributed compute platform, designing ingestion pipelines, lakehouse infrastructure, and internal tooling to power analytics and AI across the company.
The Data Engineer will design and develop Data and AI solutions using Databricks, focusing on ETL/ELT pipelines, SQL, and Delta Lake architectures. The role involves collaborating with Data Scientists and Cloud Engineers in an Agile environment with a hybrid work requirement.
Designs and maintains scalable data platforms on Azure and Databricks, focusing on ETL/ELT pipelines, data lakehouse architecture, and cloud-native migrations while ensuring data quality, governance, and DevOps automation.
Lead the design and evolution of an Azure Databricks lakehouse, expanding Delta Lake and Unity Catalog while mentoring a small team in a hybrid Auckland role.
The Senior Data Engineer will build and optimize large-scale data processing engines using Spark, PySpark, and Python within a cloud-based lakehouse environment. The role focuses on modernizing legacy SQL ETL logic into modular Python libraries and implementing medallion architecture.
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
Inetum is seeking an expert Data Engineer to design, develop, and maintain scalable data pipelines using Databricks and cloud platforms like Azure, AWS, or GCP. The role involves implementing DataOps practices, ensuring data quality, and providing technical leadership across various client projects.
Inetum is seeking a Data Engineer to design and industrialize data pipelines using Databricks, PySpark or Scala, and Delta Lake. The role involves working on batch and streaming dataflows within cloud environments using DataOps practices.
Build and maintain Databricks pipelines that ingest and transform high-volume external data into clean, structured inputs for analytics and AI models, primarily supporting stakeholder engagement in the energy and utility sectors.
Data Engineer building scalable Azure data pipelines and platforms using Data Factory, Databricks, Synapse, and Delta Lake, with strong Python/SQL skills for ETL/ELT and data governance.
The Senior Engineering Manager will lead a team of data engineers and consultants to build and maintain scalable data pipelines and Lakehouse architectures on AWS and Databricks. This role involves managing team performance, driving technical strategy, and ensuring operational excellence for data products across the organization.
The Senior Software Engineer will design and maintain production-grade data pipelines and models within a centralized lakehouse architecture using Databricks, Spark, and Python. The role involves driving technical design, integrating AI tooling into data workflows, and mentoring team members to support financial and product analytics.
The Senior Data Engineer will design and operate production ETL pipelines on Databricks using Spark and Delta Live Tables to support financial and payment systems. The role involves building data models, integrating AI tooling into workflows, and collaborating on infrastructure using Terraform.
The Staff Software Engineer will lead the technical direction and architecture of the company's centralized data lakehouse, focusing on ingestion, transformation, and governance. This role involves hands-on development using Databricks, AWS, and AI-driven engineering tools to support financial analytics and product intelligence.
The Staff Software Engineer will lead the technical direction and architecture of Ripple's centralized lakehouse platform, focusing on ingestion, transformation, and data quality. This hands-on role involves building critical platform components, setting engineering standards, and integrating AI-driven tools into data workflows.
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