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.
Build and maintain AWS infrastructure with Terraform, automate CI/CD pipelines, and ensure uptime for maritime data services using DevOps best practices.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
Design and build scalable data platforms and AI-driven architectures for enterprises, using AWS/Azure services, Python, and modern data patterns to enable AI transformations.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Principal Data Engineer builds and leads data pipelines and foundations using Databricks, PySpark, Python and SQL to enable an energy trading company to extract value from data.
Lead a team to build and maintain a large AWS-based data platform, designing scalable pipelines and setting engineering standards for batch and streaming data workflows.
Lead a team of data engineers to design and deploy cloud-native data pipelines and warehouses, migrating IAG Cargo from on-premise to AWS and Snowflake.
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Design and build scalable AWS data pipelines (ETL, data lakes, warehouses) using Python, Spark, and AWS services like Glue, RedShift, and Kinesis to process large datasets for clients across multiple sectors.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain cloud-based data pipelines and warehouses using Azure Databricks, Snowflake, and AWS services to enable AI/ML-driven insights for enterprise clients.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and AI applications.
Design and build serverless AWS data pipelines for real-time lottery analytics, integrating marketing tech and gaming platforms using Python, Lambda, Kinesis, and DynamoDB.
Build and maintain AWS-based data pipelines and AI-driven data products for a large bank, using Python, PySpark, and cloud-native tools to power analytics and customer experiences.
We couldn't check your fit for this role — add a CV to your profile to see it next time.