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 scale real-time, globally distributed data pipelines and identity graphs for an adtech platform using Python, Spark, and cloud infrastructure.
Staff Software Engineer in the Realtime & Streaming team at Judi Health, responsible for designing, building, and operating streaming infrastructure including WAL replication and event streaming platforms. The role involves leading batch-to-streaming migrations, setting technical standards, and ensuring timely event delivery across various data consumers.
Design and build enterprise-scale data pipelines and warehouses in Snowflake, integrating Databricks and cloud storage to power analytics and AI-driven decisions for a large fintech platform.
Design and build Azure-based data pipelines and analytics-ready datasets for public-sector modernization, using Databricks, Python, SQL, and Azure services.
Builds scalable enterprise software using Java, Python, and Azure while leveraging AI tools like TensorFlow and PyTorch to automate engineering tasks and boost developer productivity.
Designs and maintains scalable cloud data pipelines and warehouses using Python, SQL, and AWS services to support analytics and AI workloads.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Python/Scala with Spark, PySpark, and Azure services to power ASOS’s ecommerce analytics and machine-learning systems.
Build and maintain production data pipelines on Databricks, transforming raw data into clean, governed datasets for analytics and AI teams using PySpark, SQL, and Delta Lake.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Build and maintain secure data pipelines, a lakehouse, and AI-ready documentation tools for a banking platform, ensuring quality, compliance, and agent accessibility.
Designs and builds an AI-first platform for IP intelligence, focusing on modular, explainable systems for patent analysis and freedom-to-operate workflows using Azure, Databricks, and modern frontend stacks.
Build and optimize cloud-based data platforms using Databricks, Delta Lake, and Azure services to migrate legacy warehouses to a modern Lakehouse architecture.
Design and build a modern Azure-based Lakehouse architecture using Databricks, Delta Lake, and Spark to replace legacy data warehouses and enable advanced analytics.
Designs and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL to enable reliable analytics and AI workflows.
Lead the design and optimization of CareDx’s enterprise BI ecosystem using Power BI, DAX, Databricks, and Microsoft Fabric to deliver scalable analytics and dashboards for healthcare decision-making.
Build and optimize scalable data pipelines on Databricks and AWS, designing a Lakehouse architecture with Delta Lake to support ETL/ELT, real-time streaming, and analytics for a fintech company.
Design and build a modern Lakehouse data platform on Azure using Databricks, Delta Lake, and Spark, migrating from legacy warehouses while coaching teams on best practices.
Build and operate production data pipelines and AI agent workflows on the Kinaxis Maestro Platform, integrating customer data sources and shipping agentic AI solutions for supply-chain orchestration.
Build and operate Kinaxis’s cloud-native data platform using Databricks, Spark, and Delta Lake to power AI and analytics for global supply-chain customers.
Salary: £? - ? per year Requirements: We need deep hands-on Azure Databricks implementation and troubleshooting experience. We need experience with Databricks Serverless and compute/workload optimisation. We need…
We couldn't check your fit for this role — add a CV to your profile to see it next time.