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.
Hands-on Solutions Engineer designing and delivering enterprise-scale data engineering solutions on Microsoft Azure and Microsoft Fabric, building data lakehouses, pipelines, and platforms for public sector and regulated industry clients.
Builds and maintains ML pipelines and data infrastructure for a large Mexican bank, focusing on scalable analytics and automation using Python, PySpark, and big-data tooling.
Data Scientist on Workday's Deployment Technology team, analyzing deployment/migration product performance, building Tableau dashboards, prototyping predictive models in Jupyter, and identifying AI/ML automation opportunities using SQL, statistics, and data warehousing.
The Solution Architect/Product Manager will define the HR application strategy and roadmap, overseeing the end-to-end lifecycle of HR systems like SAP SuccessFactors and Workday. This role involves managing integrations, ensuring compliance, and collaborating with HR and IT stakeholders to optimize HR processes.
The AWS Data Engineer will design, build, and maintain end-to-end data lake and lakehouse solutions on AWS. The role involves developing ingestion pipelines, managing data transformation workflows, and enforcing security and governance standards using AWS services.
Pre-sales Solutions Architect at MongoDB in Singapore, guiding customers to design and build scalable systems using MongoDB's data platform, partnering with sales to win deals and drive technical success.
The Data Migration & Reporting Test Analyst will be responsible for testing data migration, data warehouses, and reporting outputs using SQL. The role requires strong analytical skills to perform source-to-target reconciliation and validate complex business rules within Agile or Waterfall environments.
Test data migration and reporting systems using SQL, Python, and/or SAS — validate source-to-target mappings, execute UAT and regression tests, and perform reconciliation across data pipelines and BI platforms.
The Software Consultant (Data Engineer) designs and maintains scalable data pipelines and ETL workflows on AWS using PySpark, Python, and serverless technologies. The role involves infrastructure management via Terraform and collaboration with stakeholders to support data modernization and governance initiatives.
The Data Engineer will design and maintain scalable data pipelines, warehouses, and lakes while developing backend APIs to support data-driven products. The role involves using cloud platforms, ETL frameworks, and web scraping technologies in an Agile environment.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
Full Stack Data Engineer owning the end-to-end data lifecycle on Databricks/AWS with Power BI reporting, driving data democratisation and AI-first workflows in a hybrid Warsaw role.
About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 14 consecutive years on the Inc. 5000 list of Fastest Growing…
About us GRXST Software Services Pvt Ltd, part of the esteemed GXS Bank Pte Ltd group of companies is technology center of excellence the digibank's operations across Singapore, Malaysia, and Indonesia. Driven by…
Data Engineer in Paris structuring data, executing ETL processes, and building data architectures while collaborating with Data Scientists, using Python/R, Big Data tools, and cloud platforms (AWS/GCP).
Designs and builds data models and pipelines for a clinical lab, using dbt, Airflow, and cloud warehouses to turn lab operations into analytics-ready data products.
Design and deliver end-to-end Azure data analytics solutions using Azure Data Factory, Databricks, and SQL services to build models and reports for enterprise clients.
Senior Software Engineer on the Data Platform team building data governance systems (privacy, security, metadata, compliance) for an AI productivity platform processing 70B+ events/day, using Spark, lakehouse/warehouse technologies like Databricks, Delta Lake, dbt, and Snowflake.
Lead Databricks/Spark engineer responsible for configuring data lakes, optimizing pipelines, and training clients on cloud data solutions. Core focus: Spark, Databricks, and distributed data architectures.
We couldn't check your fit for this role — add a CV to your profile to see it next time.