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 optimize Cato’s petabyte-scale data lakehouse: design schemas, tune Spark jobs, and run ClickHouse/EMR to serve low-latency analytics for the entire company.
The Cloud AI/ML Engineer will refactor and deploy machine learning models into production-ready batch processing jobs within an agile healthcare environment. The role focuses on optimizing model performance and compute costs using AWS, Python, and various ML frameworks.
Middle Data Scientist at MTS Big Data building ML models for a B2B scoring product (risk and anti-fraud), working with telecom data using Python and PySpark in a hybrid format in Moscow.
The Cloud and Data Engineer will optimize data pipelines and ETL processes using Databricks, while designing AI agentic workflows and integrating LLMs into data systems. The role involves collaborating with cross-functional teams to ensure data integrity and building automated testing frameworks within a cloud environment.
Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
Команда Управления благосостояния ПАО "Сбербанк" ищет профессионала на позицию Middle Data Scientist. Мы занимаемся разработкой и внедрением ML моделей на огромной клиентской базе B2C и B2B с целью предложения…
Design and build scalable cloud-native data solutions, ETL/ELT pipelines, and governed data platforms using SQL, AWS services, Python/PySpark, and CI/CD practices.
Modernize a legacy SQL Server platform into AWS-native data capabilities—designing, building, and optimizing cloud data solutions and migrating databases, ETL, reporting, and analytics workloads using SQL and AWS services.
The Senior Data Engineer will lead the migration of a legacy SQL Server platform to AWS-native services, designing and building scalable data solutions using AWS Glue, Redshift, and QuickSight. The role involves managing ETL workflows, data governance, and CI/CD processes within an Agile enterprise environment.
The Senior Data Platform Engineer will design, build, and support high-performance data pipelines for the university's admissions transformation project. The role involves leading data integration and platform services while mentoring team members and ensuring alignment with enterprise architecture using Azure and Databricks.
Senior Data Engineer at a tech consultancy building cloud-native data platforms and AI-powered data products using Snowflake, Databricks, AWS, and Azure, working directly with enterprise clients in Australia.
Design, build, and support modern batch and streaming data pipelines using Spark/PySpark, Kafka, and Azure Synapse in a hybrid, hands-on leadership role in Sydney.
The Data Engineer will design and optimize data solutions using Azure and Databricks to build scalable pipelines and data lakes. The role focuses on enabling advanced analytics and machine learning through Python, SQL, and Spark expertise.
The Data Engineer will build and support scalable cloud-native data solutions using AWS services, SQL, and Python/PySpark. The role focuses on ETL/ELT pipeline development, data modeling, and database performance tuning.
This Senior Data Engineer role involves migrating legacy Microsoft SQL Server data platforms to AWS-native services like Aurora, Redshift, and Glue. The engineer will design scalable data pipelines, optimize database performance, and implement CI/CD practices within a large-scale cloud transformation project.
Job Title: Senior / Lead Data Engineer Cloud (Terraform, DBT, Azure) Key Skills: DBT, Azure Databricks, Terraform, SQL, Python, Delta Lake, Unity Catalog, AI-Assisted Development, Data Engineering, CI/CD Experience: 5+…
Data Engineer writing production Python pipelines, libraries, and APIs for Bain's Coro B2B analytics/GTM software suite, deploying to cloud platforms with CI/CD and IaC.
Designs and maintains secure, scalable data pipelines for federal agencies using cloud tools like AWS Glue, Databricks, and Spark, while ensuring data quality and compliance.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
Data Engineer building and maintaining ETL pipelines, data models, and a lakehouse infrastructure using Azure Synapse Analytics, Databricks, Python, and PySpark in a hybrid role in Kuala Lumpur.
We couldn't check your fit for this role — add a CV to your profile to see it next time.