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.
Principal Data Scientist leading the technical direction and delivery of analytical products supporting Corporate and One Supply functions at Grupo Modelo (AB-InBev), using Python, SQL, machine learning, optimization, and statistical modeling.
Lognext is seeking a Data Engineer with at least 5 years of experience to manage the full data lifecycle, including ETL design, data transformation, and dashboard creation. The role focuses on using SQL, PySpark, and Python to deliver analytical solutions and business intelligence.
Data Engineer building ETL/ELT pipelines in a Lakehouse environment using Databricks (Unity Catalog), Spark, and Azure Data Factory, collaborating with architects and analysts on a greenfield data platform.
Senior Data Platform Engineer designing and overseeing data pipelines in Databricks on AWS, transforming raw data into analytics-ready datasets while contributing to governance and scalable lakehouse design in a hybrid Sydney office.
Data Engineer focused on Snowflake for banking client projects—building data ingestion, transformation flows, and CI/CD pipelines using Snowflake, Python, SQL, and PySpark.
Senior Data Engineer on Snowflake, designing and industrializing data pipelines for clients—using Airflow for orchestration, Spark for distributed compute, and Terraform/Docker/K8s for infrastructure and deployment.
Data Engineer role developing and optimizing data pipelines using Azure, Databricks, PySpark, and Azure Data Factory within a Data Warehouse Cloud environment, with responsibilities spanning both data engineering and DevOps/infrastructure tasks.
LabSoft is seeking an experienced Data Engineer to design, industrialize, and optimize cloud-based data pipelines on Azure using Databricks and PySpark. The role involves managing data workflows, implementing CI/CD practices, and collaborating with business teams to improve performance and cost efficiency.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
Stellantis is seeking a Data Engineer to design and maintain scalable data pipelines for reporting and analytics. The role involves writing Python and PySpark code to optimize ETL/ELT workflows and data models to support data-driven decision-making.
Design and operate Microsoft Fabric workspaces, Lakehouse architecture, and CI/CD pipelines to deliver trusted dimensional models and Power BI semantic models for auto and property insurance data. Core technologies: Microsoft Fabric, Azure DevOps, SQL, PySpark, Delta Lake, and Power BI.
The Senior Data Engineer will design and build robust data pipelines and models using AWS, Snowflake, Python, and Spark to support analytical insights for Sun Life's business units. This role bridges the gap between business stakeholders and technical data teams to ensure high-quality, compliant data products.
The Fabric Data Engineer will design and maintain Microsoft Fabric workspace architectures and optimize data pipelines to support insurance analytics. The role involves implementing data governance and quality controls using SQL, PySpark, and Python in a hybrid work environment.
The Data Platform Engineer will build and maintain cloud data infrastructure and pipelines using AWS, Databricks, Terraform, and Kubernetes. This role involves managing CI/CD processes and developing streaming data workflows to support analytics and AI products.
Python Developer (contract, 1 year) building scalable microservices, APIs, and data engineering solutions using FastAPI, Docker, Kubernetes, Azure Databricks, and Kafka for a large banking client's platform modernization in Toronto.
The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines with Python, SQL, and Spark/PySpark while working with lakehouse architectures.
The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines and transformation models while working across various customer environments.
This is a freelance remote Data Engineering Consultant role focused on data transformation and management within international teams using PySpark, Python, and SQL in cloud environments.
The Data Engineer will work on end-to-end analytics projects, utilizing Python, PySpark, and SQL to deliver insights within cloud environments like AWS or GCP. The role requires a product-focused mindset and the ability to manage stakeholders while leveraging ML and AI technologies.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.