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 scalable data pipelines, integrate and transform data sources, and optimize batch/real-time processing for analytics and reporting.
Lead a team building and scaling Azure-based data pipelines and AI-ready data models for a large ecommerce retailer using PySpark, Databricks, and Data Factory.
Senior Data Engineer builds and optimizes cloud-based data pipelines for clients in energy, transport, finance, and healthcare, using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and maintain ETL/ELT pipelines, model data warehouses/lakes, and advise clients on data strategy using Python, DBT, and cloud platforms like Snowflake.
Build and optimise Azure data pipelines (ADF, Databricks), migrate data into Azure Data Lake, and ensure data quality and governance in a global organisation.
Design and build cloud-based data pipelines and integrations to feed a Knowledge Graph platform using Microsoft Fabric or equivalent, with C#/.NET or Python and PySpark.
Builds, tests, and operates cloud-based backend services for a large food-tech platform, focusing on scalability, resilience, and performance in AWS.
Builds, tests, and operates cloud-based backend services (AWS) in Java/Kotlin/Rust, focusing on scalability, resilience, and performance monitoring for a large-scale food-tech platform.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Senior Data Engineer designs cloud-scale data models, optimizes Data Lake and Warehouse, and collaborates with analysts to deliver business value using Python/Java, SQL, and cloud tools like AWS.
Lead a team building and optimizing a real-time marketing analytics pipeline using AWS, Airflow, and S3-backed data lakes, ensuring high-volume ETL and data quality.
Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM operations and analytics.
Lead a team building and scaling an S3-backed data lake and OLAP pipelines for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Senior Data Engineer builds and maintains Preply’s data lake and ingestion pipelines, ensuring reliable, high-quality data for analytics, ML, and product features.
Build and maintain ETL/ELT pipelines in Azure Data Factory and Databricks, ingesting and transforming data into clean, analytics-ready datasets using PySpark, SQL, and cloud storage.
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
