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Designs and governs end-to-end lab orchestration architectures that connect scientific informatics, data pipelines, and physical lab systems, ensuring performance, security, and scalability for automated research workflows.
Project: Radar-based detection system Contract-to-hire (Phase-based) Remote About the Role We're looking for an engineer to build the middleware layer connecting a marine radar system to an IP camera network for an…
Build scalable backend and full-stack systems for Samsara’s IoT platform, focusing on data insights, container orchestration, and GraphQL APIs to power global physical operations.
The Data Engineering Manager will lead and mentor a data engineering team to build and scale an AI-ready data platform using technologies like Snowflake, Fivetran, and dbt. The role involves managing data governance, improving pipeline reliability, and collaborating with cross-functional stakeholders to enable enterprise-wide analytics.
Design and modernize a cloud-based enterprise data platform using Databricks Serverless, Azure, and FinOps practices to drive cost efficiency and scalability for analytics and AI workloads.
Implicity is seeking a Backend Engineer to join their Data Platform team in Paris to build and maintain ingestion services for cardiac device data. The role focuses on TypeScript and Python development within a regulated health-tech environment, utilizing tools like NestJS, Temporal, and AWS.
parcelLab , the leading Operations Experience Management platform, is growing in the US! We are looking for a full-time Implementation Manager based remotely within the Eastern or Central Time Zones to join our global…
The Data Analytics Platform Architect will design and implement a secure, scalable cloud data platform on AWS using tools like Talend, Denodo, and Keycloak. The role involves leading the end-to-end setup of infrastructure to support enterprise analytics and AI initiatives for public sector clients.
A bit about the role and what you'll do... We are looking for an exceptional Data Analyst to join our team. This is not a traditional reporting role - you will be at the centre of real-time analytics, AI-driven…
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
Develop AI/ML systems across the full stack at Google, from low-level hardware acceleration and compiler optimizations to model architecture and production APIs.
The Security Platform Engineer manages and optimizes security telemetry and analytics platforms, specifically Google SecOps and BindPlane. This role involves maintaining data ingestion pipelines, ensuring platform stability, and collaborating with security teams to support incident response and detection engineering.
Lead the engineering and evolution of SMBC Asia Pacific's enterprise data platform—overseeing data ingestion, transformation, analytics, AI/LLM integration, and regulatory reporting infrastructure using technologies like Databricks, Snowflake, Kafka, Spark, and Kubernetes.
Own the product roadmap for Google’s global data ingestion platform, defining schema models and overseeing ETL pipelines that power the Data Commons Knowledge Graph.
Senior Data/AI Engineer designing Lakehouse data pipelines, real-time SSE streaming APIs, and AKS microservices on Azure Databricks using Spark, Python, and SQL to power research and analytics products.
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.
Leads a team building and managing a data platform and AI initiatives in Australia, focusing on data pipelines, databases, and scalable data products to support business and AI strategies.
Designs, builds, and maintains data pipelines and platforms for UNSW’s enterprise data warehouse, focusing on admissions data and analytics. Core tech: Databricks, Azure, SQL, PySpark, and DevOps tools.
Senior AWS Data Engineer building reusable ingestion frameworks, low-latency streaming pipelines, and scalable AWS data solutions using SageMaker Unified Studio, Kinesis, Kafka, Glue, Spark, and various databases.
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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