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 a team building core components for Citi’s Prime Brokerage platform using Java/Kotlin, driving architecture, CI/CD, and system reliability in a hybrid finance-tech role.
Build and maintain the Core Prime Brokerage platform using Java/Kotlin, improve CI/CD and automated testing, and collaborate with a global team.
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Lead Data Scientist builds and operates ML systems that recommend Wise products to customers at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
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.
Build and maintain scalable data pipelines and analytics infrastructure for Mimecast’s product metrics, KPIs, and executive reporting using Snowflake, dbt, and Tableau.
Designs and builds scalable data infrastructure for a large bank, including real-time analytics pipelines and petabyte-scale storage using Python, SQL, ClickHouse, and Trino.
Lead the design and delivery of enterprise-scale data platforms for a bank, including Lakehouse architectures (Databricks, Snowflake) and NLP-enabled analytics for regulatory and commercial banking insights.
Senior DevOps engineer builds and runs Kubernetes/AWS EKS clusters for containerized Manufacturing Execution Systems, group IT apps, and cloud architecture across global sites, automating CI/CD, IaC, and observability.
Data analyst optimizing Ozon’s last-mile delivery by building data pipelines, BI reports, and algorithms to improve courier efficiency and delivery speed.
Build and operate Prodege’s high-scale data platform, owning batch/streaming pipelines, Medallion modeling, and AI-driven feature stores that power analytics, experimentation, and ML across 120M users.
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.
Builds and automates fault-tolerant distributed data platforms in Python, focusing on PostgreSQL, MySQL, Kafka, Kubernetes and cloud/private-cloud stacks for enterprise deployments.
Build and maintain scalable data pipelines and analytics infrastructure for clinical trial platforms using Python, Spark, and Apache Iceberg, enabling self-service analytics and AI-driven features.
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).
Analyze, validate, and transform large datasets; build batch and streaming data pipelines; optimize queries and processes; collaborate on data models and Data Lake design using SQL, Python, Spark, Kafka, and related tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.