Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
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.
Build and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
Builds and maintains Python-based automation for SaaS seat management and data-mesh integrations using open-source ETL tools, ensuring scalable, secure, and high-quality enterprise systems.
System analyst builds and migrates data pipelines for a government client, reverse-engineering legacy ETL, designing Lakehouse flows, and ensuring data quality in a hybrid stack (Trino, Spark, Kafka, XML/XSD).
Leads Berlin-based team to design, build, and maintain KAYAK’s shared data platform (ingestion, storage, orchestration, lakehouse), ensuring scalability, reliability, and cost-efficiency for analytics, ML, and experimentation across Booking Holdings’ travel brands.
Build and scale data pipelines and streaming architectures in Python, dbt, Airflow, Kafka, and Trino/Iceberg to power Wise’s global marketing engine and customer acquisition systems.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Build and own scalable data pipelines and analytics infrastructure for Mimecast’s product metrics, KPIs, and executive reporting using Snowflake, dbt, and Tableau.
Principal Data Engineer builds and evolves a high-scale data platform (Snowflake, dbt, Iceberg, Trino, Kafka) to power analytics, ML, and business decisions across Prodege’s adtech ecosystem.
Analyze, validate, and transform large datasets; build batch and streaming data pipelines; optimize queries and processes for a cybersecurity-focused defense contractor.
Lead the design and operations of Apple’s real-time data platform, building ETL/ELT pipelines, multimodal data processing, and ML inference integrations to power intelligent search and analytics.
Are you a systems architect or senior engineer who has built the digital backbone of a manufacturing or high-tech company, ready to own it end-to-end? At Lightium, we are building next-generation photonic integrated…
Designs and builds data pipelines and warehouses for an HR analytics platform, using SQL, ClickHouse, and ETL tools to feed ML models and HR insights.
Builds and optimizes large-scale data pipelines and real-time systems using Java, Spark, Python, and Hadoop ecosystem tools to support banking operations and AI-driven analytics.
Senior ML Engineer builds and deploys personalization models for mobile games, using ML techniques and MLOps to improve player retention, revenue, and experience.
Build and optimize scalable data pipelines for Wise’s finance team using Trino, Iceberg, and Kafka to process millions of financial events daily into audit-ready reporting layers.
You will expand data platform capabilities across OLAP and data engineering ecosystems. You will build and improve distributed infrastructure, develop data quality and discoverability tools, optimize CI/CD…
We couldn't check your fit for this role — add a CV to your profile to see it next time.