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Provide high-touch support and tailored Spark/ML/AI solutions for Databricks' largest customers—traging complex issues, building POCs, developing playbooks, training teams, and acting as a trusted advisor in executive reviews.
Senior Data & AI Engineer owns the data and AI platform for trading and sportsbook products, building real-time/batch pipelines, developing ML/AI features and RAG/LLM capabilities, and shipping backend services (Go/Python/Java).
Lead a small data engineering team at Barwon Water, building scalable and secure data platforms on Microsoft Fabric and Azure, establishing data governance and foundations to support advanced analytics and AI adoption.
The Senior Spark & Data Platform Engineer provides high-touch technical support and solutions for major customers, focusing on resolving complex issues, building POCs, and mentoring teams on Spark performance tuning.
The Staff Spark & Data Platform Engineer provides high-touch technical support to strategic customers by triaging and resolving critical issues within Spark and data-driven environments. The role requires extensive experience in distributed computing and production-level Spark, ML, and AI implementations.
The Databricks Data Engineer will design, develop, and optimize data pipelines and lakehouse architectures for enterprise clients using Databricks, Spark, Python, and SQL.
Senior Data Engineer designing and building GYG's end-to-end data platform on Microsoft Fabric — from ingestion pipelines and medallion architecture to governed Power BI semantic models — supporting sales, ops, and people reporting across the restaurant chain.
Senior Data Engineer designing, developing, and industrializing data pipelines and platforms (data lake, lakehouse, data warehouse) using SQL, Python, Spark, Databricks, and cloud services for an IT consulting firm in Lyon.
Senior Data Engineer designing and maintaining batch and near-real-time data pipelines for EPI's Wero digital wallet, working primarily with Databricks, dbt, SQL, and Python in a remote-first, distributed European team.
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across…
Build and operate a resilient, scalable data and ML platform using Databricks, Snowflake, and cloud-native tools to support healthcare analytics and AI workloads.
about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and…
Designs and scales high-throughput, secure data platforms for defense/intel use cases, using Spark, Kafka, Kubernetes, and multi-cloud IaC while ensuring compliance and mentoring teams.
Data Engineer role focused on evolving an on-premise data platform and migrating it to an Azure Databricks Lakehouse architecture, using Python, Apache Airflow, and SQL/PostgreSQL on a daily basis.
Develops and optimizes data pipelines, builds data products, and migrates an on-premise platform to Azure Databricks Lakehouse using Python and Airflow.
The Senior Data Platform Engineer will design and manage an enterprise data platform using Microsoft Fabric to support analytics, AI, and BI initiatives. The role involves building data pipelines, ensuring data quality, and mentoring team members.
Design, build and operate an enterprise Lakehouse data platform on Microsoft Fabric, developing ETL/ELT pipelines and data ingestion from ERP, manufacturing and supply chain systems for a large Malaysian agrofood group.
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
The Data Engineer will design, develop, and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure data quality across the organization's data lakehouse.
This role involves configuring Microsoft Fabric platforms and building data ingestion and transformation pipelines for clients. The engineer will manage the full delivery lifecycle, including architecture design, governance, and knowledge transfer to client teams.
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