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.
Designs and maintains data pipelines, manages a data lake, and enriches datasets for internal and external use using SQL, cloud platforms, and ETL tools.
Build and maintain data pipelines, write SQL queries, and monitor data quality to support analytics and AI solutions for clients in a collaborative, office-based role.
Build and maintain high-performance data pipelines in Snowflake and AWS, using dbt Core/Cloud and Python to power analytics and AI initiatives for an insurance company.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Build and deploy ML and agentic AI models on Databricks and cloud to personalize banking experiences, improve decisions, and drive operational efficiency in a regulated environment.
Builds and maintains scalable ETL pipelines and data warehouses to power analytics for EA’s user-generated content platform, using Python, SQL, Airflow, and cloud platforms.
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
Build and optimize data pipelines using Apache Spark and SQL for financial IT systems, processing large-scale datasets in a hybrid Warsaw role.
Build and optimize Spark-based data pipelines and SQL queries for financial and logistics clients in a hybrid Warsaw role.
Build and maintain Kafka pipelines that feed real-time and archival data stores for an investment bank, using Python and Unix scripting while collaborating with global teams.
Lead the design and build of scalable Azure data pipelines and data lake solutions using Databricks, PySpark, and SQL to migrate and process enterprise data.
Build and maintain scalable data pipelines and cloud-based analytics infrastructure to support data-driven decisions in the energy sector.
Build and maintain a cloud-native microservices platform in Node.js/NestJS that stores, visualizes, and analyzes pharmaceutical research models for a Sweden-based customer.
Build and maintain a privacy-focused data platform in Snowflake using dbt and Dagster, enabling accurate KPI tracking and analytics for a digital banking business.
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes to support analytics and business intelligence for a public safety authority.
You’ll analyze financial and operational data using SQL, Python/R, and AI tools to build dashboards and reports that guide decisions in risk assessment and business strategy.
Build and scale Relay’s Snowflake data warehouse and DBT models, create data tools and APIs, and ensure secure, privacy-preserving analytics for fintech growth.
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.