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Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms for clients, working hands-on with Python/SQL pipelines, Spark/Polars processing, and Kubernetes deployments while learning under senior guidance.
Senior Data Platform Engineer
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, and modern tools like Spark, Airflow, and Kubernetes while learning from senior engineers.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms for clients, working hands-on with Python, SQL, Spark, and Kubernetes while learning data pipelines, CI/CD, and cloud infrastructure.
Data Engineer
Build and maintain data pipelines, quality workflows, and dashboards using Python, SQL, Azure Databricks, and Azure DevOps to ensure clean, reliable data for analytics and reporting.
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Build and maintain open-source data, AI/ML, and analytics platforms using Python, Kubernetes, and tools like Kubeflow and MLFlow, deployed across clouds and on-prem.
Alternance Data engineer - Paris (F/H)
Build and maintain data pipelines for a hospital’s health-data warehouse using Spark, Airflow, and Kubernetes, ensuring data quality and availability for researchers and clinicians.
Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Senior AI Solution Architect
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Senior AI Solution Architect
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.
Senior Data Engineer
Build and maintain scalable data pipelines using Kafka, Spark, Flink, and cloud orchestration tools, containerized on Kubernetes, to power real-time and batch analytics for a product-focused team.
Apache Iceberg Architect — Remote Data Lake Engineer
Design and implement Apache Iceberg table formats for scalable data lakes, enabling schema evolution and multi-engine access with Spark and Trino in a fully remote role.
Middle Data Engineer
Designs and maintains batch and real-time data pipelines using Spark, Kafka, and cloud platforms like Snowflake or AWS to power BI, ML, and AI initiatives.
Data Engineer
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI products using SQL, dbt, and cloud platforms like Databricks or AWS.
Principal Software Engineer
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Site Reliability Engineer - Data Platform
Build and maintain Adyen’s on-premise big-data platforms, ensuring reliability, scalability, and cost-efficiency for thousands of daily jobs and petabytes of storage.
Python / Data Platform Engineering - Building Distributed Data Platforms at 25,000+ Cores, 23+ [...]
Build and scale a global distributed data platform for a fintech unicorn, using Python, Kafka, Spark, and Trino to power petabytes of storage and real-time decision-making.