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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.
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 designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
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.
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
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.
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.
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.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
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.
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 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.
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.
Build and evolve a global-scale data platform used by hundreds of engineers for analytics, ML, and real-time systems, focusing on distributed compute, storage, and streaming architectures.
Build and maintain large-scale on-premise big data platforms (500+ nodes, 23+ PB storage) for a global payments unicorn, focusing on OLAP and data engineering tooling.
Build and scale Adyen’s on-premise big-data platforms (500+ nodes, 23+ PB storage) using Java, Python, Spark, Kafka, and Druid to power real-time analytics and data pipelines for 10s of products.
Build and optimize data pipelines, warehouses, and analytics for a banking-focused data platform using SQL, Python, and cloud tools.
Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
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