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.
The Data Engineer will design, build, and maintain data ingestion and transformation pipelines using AWS and Databricks. The role involves collaborating with cross-functional teams to deliver high-quality, production-ready datasets.
Hands-on Data Architect/Lead Data Engineer role focused on Databricks — designing data models, building pipelines, and providing technical leadership for a Worcester-based technology organisation.
The Senior Data Engineer will design and maintain scalable data platforms using Azure and Microsoft Fabric, focusing on end-to-end pipelines and Lakehouse architecture. The role involves implementing CDC, incremental data loads, and optimizing data performance.
The Cloud Data Platform Engineer will design, build, and optimize scalable data solutions on Microsoft Azure using services like Databricks and Azure Data Factory. The role involves automating infrastructure with IaC, managing CI/CD pipelines, and maintaining robust, fault-tolerant data architectures.
Architect and optimize scalable Azure-based data pipelines and infrastructure using Data Factory, Databricks, and AKS, with Python/Java/SQL, Delta Lake, and IaC in a hybrid agile team.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
This role involves building and productionizing Databricks lakehouse data products within a financial services environment. The engineer will design data pipelines using Spark, Python, and SQL while implementing governance via Unity Catalog across Azure and Google Cloud platforms.
The Data Platform Engineer will design and maintain a central data platform to support analytics and AI/ML initiatives. The role involves building scalable data pipelines and integrating batch and streaming processes using technologies like Delta Lake, Spark, and Snowflake.
Own the technical pre-sales cycle for Databricks consulting engagements at a data/AI/analytics firm—leading discovery, designing lakehouse architectures, building demos, scoping SOWs, and handing off to delivery teams.
The Senior QA Automation Engineer will develop and maintain automation frameworks for data validation and cloud-based analytics platforms using Python, Selenium, and SQL. The role involves working with Azure Databricks and Delta Lake to ensure high-quality data engineering outcomes.
As a Senior Data Engineer Consultant, you will design and industrialize data platforms, build ETL/ELT pipelines, and manage large-scale data architectures using cloud technologies like AWS, GCP, or Azure. You will collaborate with data scientists and engineers to ensure data scalability and security while mentoring team members.
Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
The Data Engineering Lead will design and implement high-performance data solutions using Databricks, Apache Spark, and AWS cloud infrastructure. This role focuses on building scalable data platforms and optimizing distributed computing workflows within a financial services environment.
Data Architect specializing in Microsoft Fabric—designing architecture, governance, OneLake, and Real-Time Intelligence solutions while integrating with the Azure data stack and Power BI, and influencing senior stakeholders in a consulting environment.
Data Architect role in Central London designing and delivering data solutions using the Azure data stack, with focus on data modelling across relational and dimensional models and performance optimisation of SQL Server and PostgreSQL databases.
This role is for a hands-on Azure Databricks Platform Engineer/Architect to optimize enterprise data platforms, implement serverless compute, manage FinOps, and migrate workloads from POSIT/RStudio. The position requires deep expertise in Azure Databricks, Python, PySpark, and SQL to build and maintain scalable data pipelines and platform controls.
The Senior Data Engineer will design and operate a data platform for dynamic pricing and business intelligence in high-volume retail. The role focuses on data architecture, from ingestion to preparing data for ML and BI using Databricks, Delta Lake, and Unity Catalog.
Senior Data Engineer working with Databricks and AWS on complex data environments, with preferred experience in Unity Catalog, Delta Lake, Delta Sharing, Terraform, and DevSecOps.
Senior Data Engineer working on innovation projects using Databricks, Delta Lake, and AWS to handle complex data, work with clients, and deliver secure, scalable solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.