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.
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
The Lead Data Engineer will design, develop, and maintain scalable data pipelines on Google Cloud Platform using Python and SQL. The role involves optimizing ETL/ELT processes, performing data modeling, and ensuring data quality and governance.
Builds and maintains VLA’s data infrastructure to ensure reliability, integrity, and accessibility for decision-making, troubleshooting data issues, and collaborating with teams on data solutions.
Builds and maintains data pipelines, warehouses, and models using Snowflake/SQL/Data Vault to transform raw data into actionable insights for analytics.
Job Description Work closely with stakeholders to understand their needs/ pain points to scope up their problems enhance internal processes through automation and improve productivity. Be a subject matter expert in…
Leads data platform reliability and performance as an SRE for a sovereign wealth fund, focusing on automation, monitoring, and secure DevSecOps practices for enterprise data infrastructure.
Senior Data/AI Engineer designing Lakehouse data pipelines, real-time SSE streaming APIs, and AKS microservices on Azure Databricks using Spark, Python, and SQL to power research and analytics products.
The Full Stack Data Scientist will build, deploy, and maintain predictive models for customer lifetime value and marketing incrementality at Pet Circle. This role involves partnering with marketing teams to translate complex data into actionable business decisions using Python, SQL, and cloud-based data platforms.
Designs, builds, and maintains data pipelines and platforms for UNSW’s enterprise data warehouse, focusing on admissions data and analytics. Core tech: Databricks, Azure, SQL, PySpark, and DevOps tools.
Lead Data Engineer designing, building, and operating enterprise-scale Azure data platforms (Data Factory, Synapse, Databricks, Data Lake Storage, Fabric) to drive advanced analytics and data-driven decision making at Rabobank Australia.
Data Engineer building and maintaining scalable, secure data pipelines on VicRoads' data platform using a modern stack (Databricks, Spark, dbt, Kafka) with SQL and Python to support analytics and reporting.
Design, build and own the data warehouse, ETL/ELT pipelines and Metabase dashboards using SQL, Python and AWS for a children's medical research institute's operational data.
Manage ETL processes and data pipelines on a proprietary big data platform for healthcare data management, using SQL, Spark, Scala, and shell scripting to ensure data quality and meet delivery SLAs on a Sat–Wed Pacific schedule.
Senior DevOps engineer managing cloud-native .NET infrastructure on Azure as a one-person team, using Kubernetes, Terraform, ArgoCD, and Azure DevOps pipelines in a Web3 data startup.
This role involves building and maintaining data pipelines and dimensional models for a product-focused company using Databricks, Spark, Python, and SQL. A core requirement is an established, daily AI-assisted engineering practice.
Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible…
Designs and builds Python-based data pipelines and APIs to process manufacturing data (ERP, MES, etc.) for analytics and BI reporting in a semiconductor facility.
At the heart of everything we do is our vision to change lives every day, and our mission to grow The National Lottery responsibly and champion its impact. Join our journey to create a new experience for The National…
Develops and maintains reporting, business models, and performance dashboards in partnership with Product Management, Sales, and IT. Leverages Excel, Power BI, and AI tools to analyze data, support forecasting, and deliver executive-ready insights in an office environment.
Lead a team to design and build P&G’s global Consumer Data Platform on Google Cloud, including pipelines, warehousing, governance, and dashboards to unlock consumer insights while protecting privacy.
We couldn't check your fit for this role — add a CV to your profile to see it next time.