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 an AI-native data governance layer for Pandora’s global platform, using Unity Catalog, Schema Registry, and OpenMetadata to automate ownership, compliance, and metadata at scale.
Build and maintain Databricks-native data quality monitoring, pipelines, and dashboards using Spark, Delta Lake, and Python to ensure reliable reporting and governance.
Senior Data Engineer builds and maintains a Databricks-based lakehouse on Azure, designing ETL pipelines and Delta Lake tables to power analytics and decision-making across Copenhagen Airports.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Senior Data Engineer to migrate finance cost allocation from Alteryx/SQL Server to Databricks, replacing legacy workflows with PySpark pipelines and SAP HANA sources.
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
Lead the architecture and evolution of a Databricks-based data platform to power analytics and AI across a fast-growing MedTech company in dentistry.
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Build and maintain Databricks-based data pipelines and models to turn airport operations data into insights that guide decisions and innovation.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Design and optimize Databricks-based ETL/ELT pipelines and streaming systems using PySpark, Delta Lake, and cloud stacks to deliver scalable, secure data solutions for enterprise clients.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
We couldn't check your fit for this role — add a CV to your profile to see it next time.