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Staff Data Scientist - Trust and Safety
Designs and deploys ML models to detect fraud and abuse on Databricks’ data and AI platform, while collaborating with security and engineering teams to enforce compliance and protect customer data.
Staff Software Engineer - Backend
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Data Engineer
Designs and deploys secure, AI-enabled data pipelines and ML services for defense missions, using Python, Spark, and cloud-native tools to transform raw data into actionable insights.
Enterprise Account Executive (EMEA)
Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and…
Data Engineer Java / Spark / GCP (H/F) — Secteur Aéronautique
Data Engineer/Tech Lead position working on a Datalake for an air transport company, focusing on data ingestion, enrichment, and platform evolution using Java, Apache Spark, and GCP technologies.
Consultant(e) Data Engineer - Databricks (/NB) F/H - Système, réseaux, données
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Data Engineer GCP - Services Financiers - Ile-de-France
Designs, builds, and automates data pipelines for banking clients on Google Cloud Platform, ensuring scalable, high-quality data processing with Spark, Kafka, and BigQuery.
Senior Data Engineer F/H - Système, réseaux, données
Senior Data Engineer designing, developing, and operating end-to-end data pipelines (ETL/ELT) using distributed computing tools like Spark/Flink, SQL, and workflow orchestrators (Airflow/Dagster) to ingest, transform, and deliver reliable datasets for BI, Data Science, and ML.
Data Engineer: Java/Spark on GCP — Hybrid in Toulouse
Data Engineer/Tech Lead maintaining and enriching a Datalake in the aerospace sector using Java, Spark, and GCP (Dataproc, Dataform, GCS, Terraform), with BigQuery and Python support. Hybrid role in Toulouse.
Data Engineer — Databricks, AWS & Spark Expert
Designs and scales data platforms, builds robust Big Data pipelines with Spark/Databricks, and develops Python/Django APIs while ensuring Kubernetes deployments on AWS/Azure for availability and scalability.
Data Engineer Databricks (H/F)
Data Engineer specializing in Databricks, designing and developing batch and streaming data pipelines using PySpark/Scala on major cloud platforms for a large European IT consulting firm.
Industrial Data Engineer – DataOps / IoT
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
Data Platform Architect
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Senior Data and Backend Engineer - INTL India
Builds and optimizes scalable data pipelines and backend services on GCP, focusing on Spark jobs, Kafka integration, and BigQuery analytics.
Senior Data & Backend Engineer: Spark, Kafka & GCP
Builds and maintains high-performance data pipelines on GCP using Spark and Kafka to enable large-scale analytics and cloud-native data solutions.
Data Engineer - Informatica Power Center
Builds and maintains Informatica PowerCenter ETL workflows to move and transform enterprise data into data warehouses using SQL and Unix scripting.
Data platform engineer
Build, deploy, and maintain a modern data platform on GCP, developing scalable data pipelines and optimizing infrastructure in a one-year accelerator program before transitioning to a partner organization.
Microsoft Fabric Data Engineer - Remote in Canada
Designs and builds modern data platforms for clients using Microsoft’s data ecosystem, focusing on pipelines, transformations, and cloud-based data architectures like Fabric, Azure Synapse, and Databricks.