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Data Engineer
Data Engineer building and scaling batch and streaming data pipelines on a modern Azure-based data platform (Databricks, Delta Lake, Python/PySpark, SQL) that powers analytics, BI, and AI/ML across the company.
Senior Software Engineer - Work Flows
Build and operate a serverless execution engine and workflows orchestration layer for industrial AI, ensuring reliability, scalability, and observability for Fortune 500 clients.
Data Platform Engineer
Own and scale a company-wide data platform: build pipelines, maintain a single source of truth, and enable self-serve analytics for teams and AI tools using SQL, dbt, Airflow, Databricks, and Azure.
Principal Software Engineer, Data Engineering
Lead a team of Data Engineers at Roblox to define data ontology, build batch/streaming pipelines, and develop scalable analytics frameworks using SQL, PySpark, Scala, and cloud platforms.
ANALISTA DEVOPS JR | HOME OFFICE
Junte-se à Revolução Tecnológica no Agronegócio com a Solinftec! A Solinftec é uma líder global em tecnologia para o agronegócio, desenvolvendo soluções inovadoras de inteligência artificial e SaaS que revolucionam a…
Principal Enterprise Data Platform Architect
About the role As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization.…
Lead Platform Marketing Manager, AI
Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations,…
Data Platform Engineer (GCP)
Maintains and optimizes large-scale GCP-based data platforms, troubleshooting pipelines, workflows, and infrastructure to ensure reliability, performance, and data freshness for AI/ML applications.
Manager, Engineering (Data Platform)
Lead a team building scalable data pipelines and AI-native infrastructure for a healthcare startup, processing 320M+ patient records to optimize care delivery and reduce costs.
Data Engineer Snowflake F/H - Système, réseaux, données
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Data Engineer GCP - Services Financiers - Ile-de-France (H/F)
Data Engineer designing, industrializing, and automating data pipelines on GCP for banking and payment clients, using Spark, Kafka, BigQuery, GKE, Airflow, and Terraform in a Cloud-first environment.
DATA Engineer H/F - Asnières-sur-Seine
Build and industrialize data pipelines and infrastructure for public sector and energy clients using Apache Spark, Databricks, Snowflake, and Cloud tools.
Data Engineer Confirmé H/F CDI
Builds and optimizes data pipelines (Kafka, SQL) to support aerospace engineering teams, enabling real-time regulatory data access and collaboration with IT architects. Core tools: DBT, Airflow, Python.
Data Engineer Databricks Senior H/F
A Senior Data Engineer designs, develops, and industrializes modern data platforms using Databricks, including building Lakehouse architectures with Delta Lake, developing batch/streaming pipelines with PySpark, and optimizing performance for analytics and AI projects.
Lead Data Engineer - Architecture & Scalabilité
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
Data Engineer | CDI | H/F
Designs and deploys modern data platforms, models data warehouses/lakehouses, builds ELT pipelines, and creates data products using SQL, Python, Snowflake, GCP, dbt, Airflow, and Docker.
Data Engineer - Manager/Specialist
Data Engineer - Manager/Specialist role at Publicis Groupe in Paris, leading a team to design and implement data pipelines, ETL/ELT processes, and data storage solutions using big data technologies like Spark, Hadoop, Kafka, and cloud platforms including Azure, AWS, and GCP.