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 dashboards, maintain ELT pipelines, and shape data models to turn business questions into reliable insights for a fast-growing startup.
Lead the roadmap for scalable data services, orchestrating 300+ annual ingestion requests and ETL/ELT workflows while aligning stakeholders and ensuring platform reliability.
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
Build and maintain ELT pipelines, model data, and enforce integrity with SQL, dbt, Snowflake, and Looker in a Barcelona-based product company.
Design and build cloud-native data platforms using Snowflake, dbt, Airflow, Python, and SQL, integrating Salesforce data for analytics and governance.
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Design and build end-to-end data pipelines and star-schema models in Microsoft Fabric/Azure, then expose clean datasets for Power BI and integrate Azure OpenAI where it adds value.
Build and scale data pipelines and services for a sustainability-focused AI platform, using SQL, ETL/ELT tools like Airflow, and modern data warehousing to power analytics and decision-making.
Lead a remote team of data engineers to build and scale Airalo’s cloud data platform (GCP/BigQuery) and pipelines, turning raw travel data into actionable insights for product and growth decisions.
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW systems, focusing on ETL pipelines, data modeling, and Power BI reporting.
Designs and builds scalable ETL/ELT pipelines to turn raw data into business insights, collaborating with data scientists and teams using SQL, Python/Scala, and cloud platforms.
Build and maintain ETL/ELT pipelines and data warehouses, then analyze data to surface insights and support ML use cases for clients across industries.
Lead the design and optimization of data pipelines and AI platforms on GCP, using BigQuery, Dataform, and Cloud Run to build scalable ELT workflows and maintain high-performance data products.
Senior Data Engineer designs and builds scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to enable AI-ready data workflows.
Design and build Azure-based data ingestion and transformation pipelines, ensuring performance, reliability, and quality for Omya’s data platform.
Designs and maintains EU data pipelines for a mobility company, integrating sales, telematics, and market data while ensuring GDPR compliance and optimizing ETL/ELT processes.
Build and maintain scalable data pipelines and lakehouse architectures using Python and SQL to support ML/AI teams and clients in a hybrid setup.
Build and maintain Java-based data pipelines and APIs on GCP to power open-banking analytics and billing for fintech infrastructure.
Build and maintain cloud data pipelines for clients using Azure Data Factory, Databricks, and Azure Data Lake Storage, ensuring clean, reliable data for analytics and ML teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.