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Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
Lead a Data Platform engineering team at Cohere Health, driving execution of complex data initiatives, operational excellence, and evolution of the data platform using AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, and Athena.
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop…
This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
Build ingestion pipelines for hundreds of WMS and Geek+ tables and transform data from Silver to Gold within a Lakehouse architecture to enable SSBI, collaborating with stakeholders on table structures and metrics.
Full Stack Engineer building SOTA video generation foundation models, developing microservices, AI training data platforms, big data infrastructure, and React/TypeScript frontends.
Video Rebirth Limited is seeking a full-stack engineer to build AI-driven video generation platforms. The role involves end-to-end development using React, TypeScript, microservices, and big data Lakehouse technologies.
The Microsoft Fabric Data Engineer will build and maintain the TRACK Data Lakehouse platform by developing scalable data pipelines and integrating enterprise systems. The role focuses on optimizing data models for Power BI reporting and preparing data for AI/ML initiatives using Microsoft Fabric.
The Data Engineer will build and maintain the TRACK Data Lakehouse platform using Microsoft Fabric, focusing on data integration, modeling, and ETL/ELT processes. The role involves ensuring data quality, security, and governance while enabling analytics through Power BI.
The Analytics Engineer will design and build executive dashboards and the underlying data models to provide trusted insights across the organization. The role focuses on using Tableau, SQL, and Python to transform complex data into clear, actionable visualizations for business stakeholders.
The Data Engineer will design and maintain scalable batch and streaming data pipelines using lakehouse architectures and cloud environments. The role involves collaborating with cross-functional teams to ensure data quality, security, and governance within a hybrid work model in Barcelona.
The Senior Data Engineer will design and maintain scalable batch and streaming data pipelines using AWS cloud-native technologies. The role involves collaborating with cross-functional teams to build robust data architectures and improve platform performance.
Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
The Lead Microsoft Fabric Data Engineer will design and deliver end-to-end data solutions, including Lakehouse and warehouse architecture, using Microsoft Fabric, Azure, and Power BI. The role involves technical ownership of data pipelines and mentoring junior team members.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
The Data Platform Engineer will design and evolve data platforms on Google Cloud, managing pipelines with BigQuery, dbt, and Airflow. The role involves implementing infrastructure as code, supporting MLOps, and integrating AI/LLM solutions for data quality and process optimization.
Data Platform Engineer designing and evolving a GCP-based data platform using BigQuery, dbt, Terraform, and Airflow for a logistics/transport technology company, with AI/LLM-driven automations.
Senior Azure Data Engineer to assess, design, and potentially build a modern Microsoft-based lakehouse data platform for a pharmaceutical CDMO, starting with a 6-week discovery phase using Azure Data Factory, Microsoft Fabric, and Databricks.
Senior Azure Data Engineer on a 6-week discovery phase (~30 hrs/week) to assess a pharma client's data landscape and design a scalable lakehouse, prototyping with Azure Fabric, ADF, and Databricks alongside a Solution Architect.
Build and evolve an internal Data+ platform at Nubiral, designing reusable data capabilities, ETL pipelines, and self-service tooling on AWS while incorporating generative AI, LLMs, and RAG to automate data engineering tasks.
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