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Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Build and optimize data pipelines for an energy company using Airflow, Python, and Trino, while auditing and improving existing workflows and collaborating with non-technical teams.
Data Engineer building and maintaining a large-scale data platform for a major bank, automating data ingestion and ensuring quality in a high-volume environment.
Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Build and maintain data pipelines, storage systems, and CI/CD workflows for a large banking group, using Python, SQL, Spark, Kafka, and cloud storage.
Build and run Kubernetes-based lakehouse platforms for a large bank’s data stack, automating deployments with GitOps and optimizing Spark/Trino workloads.
Build and scale data pipelines for TV and advertising analytics using Spark, Scala, and AWS; own resilient, cloud-native platforms handling terabytes daily.
Lead a team of data engineers to build and maintain scalable data pipelines and infrastructure for RBC’s asset management unit, enabling analytics, ML, and AI solutions.
Builds and maintains data pipelines, dashboards, and analyses to guide Netflix’s content strategy and measure title performance across verticals.
（日本語が下部に続きます） About AIRoA The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the…
Data Analyst builds and tests ad-platform growth hypotheses, runs A/B tests, and delivers BI dashboards using ClickHouse, Redash/Superset, Spark, and Trino.
Build and maintain a scalable open-architecture data platform for financial data, using Python, Java, Spark, Iceberg, and cloud services to enable secure ingestion, governance, and analytics.
Lead the design and evolution of enterprise-scale data and AI architectures for large corporations, guiding cloud-based analytics and generative AI solutions across Azure, AWS, and GCP.
Lead a team to build and maintain Samsara’s petabyte-scale data platform, driving AI transformation and scalable infrastructure for IoT-driven operations across industries like agriculture, construction, and transportation.
Build and own Minerva’s consumer-data products, transforming raw signals into trusted attributes and scalable pipelines that power AI agents, APIs, and enterprise marketing campaigns.
About the Team The Engineering Productivity team is what makes Starburst's engineering organization move fast without breaking things. We own the tooling, processes, and infrastructure that let every other…
Build and maintain Wise’s pricing platform in Java/Spring Boot, handling 100M+ daily requests and Kafka-driven event processing to ensure reliable, scalable pricing across products.
Lead three engineering teams building and operating Canonical’s internal business systems, data mesh, and integrations using Salesforce, NetSuite, Python, Trino, Airbyte, and Temporal.
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
Lead a data governance program for Canonical’s internal data mesh, defining policies and building Python tooling to automate data labeling, quality metrics, and access controls using open-source tools like Trino and Ranger.
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