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.
Lead a blended team of data engineers and consultants building scalable data pipelines on Databricks and AWS to power BI, analytics, fraud detection, and operational reporting at FanDuel.
Senior Data Engineer building production ETL pipelines on Ripple's Caspian lakehouse using Databricks, Delta Live Tables, Spark, Python, SQL, AWS, and Terraform.
Leads the technical direction of Ripple’s centralized data lakehouse platform (Caspian), designing ingestion, transformation, governance, and data quality systems while setting engineering standards and mentoring senior engineers. Core focus: Databricks, AWS, and AI-driven data workflows.
Senior/Principal Databricks Data Engineer on contract building production-grade pipelines with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog, using Terraform/IaC and CI/CD while mentoring engineers.
The Principal Data Engineer will lead the design and hands-on delivery of a modern cloud-based data platform using Databricks, AWS, and dbt within a financial services transformation programme. This role requires a blend of technical leadership, stakeholder management, and active participation in building scalable data pipelines and Lakehouse architectures.
Design and build enterprise data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Python, SQL, and Azure cloud services (Azure Data Factory, Databricks, Microsoft Fabric, Snowflake) within NNIT's AI Center of Excellence.
The Senior Software Engineer will design, develop, and maintain enterprise-scale data warehouse solutions and ETL/ELT pipelines. The role involves working with cloud platforms, big data technologies, and data modeling to support analytics and reporting within an agile environment.
Senior Software Engineer (Data Engineering) Working Hours: Mon-Fri (Hybrid) Remuneration: Up to $11,000 + AWS Employment Type: Contract (1 year renewable with chances of conversion) JOB OVERVIEW We are seeking an…
Senior Data Engineer designing and building high-volume batch and streaming data pipelines on AWS and GCP using Python, Java/Scala, Spark, Airflow, and various SQL/NoSQL databases for a travel marketplace client.
Blackroc is partnering with a major Queensland organisation undertaking a significant enterprise-wide transformation of its data and analytics capabilities. As part of a multi-year strategic initiative, we are seeking…
Design and implement scalable Databricks Lakehouse data platforms and lead ETL modernization from Informatica to Databricks using Spark, PySpark, and cloud infrastructure.
Design and implement scalable Databricks Lakehouse data platforms and lead ETL migration from Informatica to Databricks, working with Spark, PySpark, and Delta Lake on cloud infrastructure.
Builds and maintains ETL/ELT pipelines in Azure using Databricks, PySpark, and Azure services like ADF, Synapse, and SQL, while ensuring data lakehouse architecture and governance.
Design and maintain ETL/ELT pipelines using Azure Databricks and PySpark, working with Azure Data Factory, SQL, Delta Lake architecture, and CI/CD pipelines in a Utrecht-based data engineering company.
Designs and maintains end-to-end data pipelines, data models, and cloud-native architectures, with a focus on data quality, observability, and governance. Works on AI/ML retrieval solutions and drives technical decisions autonomously.
Principal Data Engineering Consultant Salary : £90,000 to £110,000 per annum (depending on experience) Location : Remote – must be based within the UK. Occasional visits to see customers and the team. Interview…
Design and implement enterprise data platforms spanning ingestion, storage, transformation, and serving, with hands-on data engineering, governance (PDPA), and pipeline development to support analytics and AI/ML workloads.
The Director of Data Platform Engineering will lead the strategy and engineering for the Global Transaction Banking data platform, utilizing Databricks to support analytics, AI, and transaction banking. This leadership role involves managing global engineering teams, overseeing platform architecture, and driving modernization initiatives.
A senior data engineer manages Databricks, Snowflake, and Redshift environments to build, optimize, and maintain end-to-end data pipelines using Python, SQL, PySpark, and Airflow, while handling Adobe data feeds and ensuring reliable data governance and workflow orchestration.
Lead enterprise data quality and governance automation initiatives, building scalable data pipelines and mentoring engineers using Databricks, Delta Lake, Power BI, and Informatica.
We couldn't check your fit for this role — add a CV to your profile to see it next time.