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Staff Software Engineer - Database Engine Internals
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
Staff Software Engineer - Distributed Data Systems
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
Senior Software Engineer - Database Engine Internals
Designs and builds next-generation database engine internals for a unified data and AI platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
Senior Software Engineer - Distributed Data Systems
Builds and optimizes distributed data storage and processing systems like Apache Spark and Delta Lake to power large-scale analytics and AI workloads on cloud platforms.
Solutions Architect - Healthcare/Life Sciences Team (HLS)
A Solutions Architect at Databricks partners with large healthcare/life sciences clients to design and drive adoption of data, AI, and ML solutions, leveraging cloud and big data technologies.
Staff Data Scientist
A senior data scientist at Databricks builds and deploys ML models to solve business problems like churn prediction and product analytics, using Python, Spark, and SQL while collaborating with engineering and product teams.
Staff Data Scientist - Infrastructure
Builds and deploys data science models and tooling to drive strategic decisions and improve Databricks' internal data infrastructure using Python, SQL, and Spark at massive scale.
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.