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 and warehouses for a logistics platform, ensuring reliable data flows for shipping, customer insights, and financial reporting.
Build and maintain the marketing measurement stack—tracking, attribution, and privacy-safe data flows—to power paid campaigns and experiments across web, app, and server environments.
Build and deploy cloud-native data platforms on Kubernetes, containerizing workloads and integrating tools like Airflow and Spark while collaborating with data scientists to productionize models.
Build and optimize SAP BI dashboards and data models using SAC, Datasphere, and BW/4HANA for retailers, utilities, and public-sector clients.
Design and build end-to-end data solutions using Microsoft Fabric, Databricks and Snowflake to create scalable, secure data architectures and automated pipelines for Dutch organizations.
Build and maintain scalable data pipelines and platforms for enterprise clients using cloud tools (AWS/Azure/GCP), SQL, Python, and orchestration frameworks like Airflow.
Lead a team building scalable data and AI platforms using Databricks, Azure, and Python to power analytics and customer experiences in a hybrid food-tech business.
Lead a data engineering team to build and maintain a scalable, reliable data platform for a pharmaceutical company, designing pipelines, integrations, and governance to turn raw data into actionable business insights.
Design and implement SAP data & analytics solutions (SAP Datasphere, HANA Cloud, BW/4HANA) and modernize customer landscapes with scalable pipelines.
Build and maintain APIs and databases to process large geospatial datasets, enabling fast, reliable delivery of Earth observation insights for climate and sustainability challenges.
Build and prototype AI-driven media tools: experiment with ML models, React/TypeScript front-ends, and Python back-ends in AWS to quickly validate new marketing solutions for top brands.
Build and optimize Databricks-based data pipelines on Azure, AWS or GCP, translating client needs into scalable lakehouse architectures while staying current with the latest Databricks features.
Lead the design and scaling of a modern data platform, building self-service tools and enabling AI initiatives in a cloud environment using Databricks, Spark, and infrastructure-as-code.
Lead a team of data engineers building industrial AI solutions, balancing hands-on delivery with team development and coaching.
Designs, builds, and optimizes reliable data pipelines and solutions to support energy infrastructure maintenance and digitalization efforts.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Python, Spark, and Azure for clients in AI and devtools sectors.
Builds and manages test-data tooling (DATPROF Privacy) to anonymize and provision non-production datasets for government product teams, ensuring GDPR compliance and reusable templates.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Data Engineer responsible for migrating legacy workforce data from MPS to WorkforcePlus, scripting and transforming data for 15,000+ ground staff in a fast-paced aviation program.
Build and maintain cloud-based data pipelines and infrastructure using tools like Databricks, Spark, Airflow, and Terraform to enable AI-driven analytics and solutions for enterprise clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.