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 operate a standardized EMEA FP&A data and planning platform using Microsoft Fabric (lakehouse architecture) and Power Platform (Power Apps, Power Automate) to support finance decision-making across multiple countries and legal entities.
The Senior Cloud Data Platform Engineer will design and optimize cloud data infrastructure using AWS services, IaC, and data engineering tools to support scalable data workflows. This freelance role involves maintaining AWS projects and providing technical guidance to data engineering teams.
The Senior Data Architect & Engineer will design and implement scalable cloud-based data architectures while managing pipelines and data governance. The role involves collaborating with data scientists and providing technical leadership to engineering teams.
The FP&A Data Platform Engineer will design a scalable Fabric lakehouse and automate payroll and planning inputs using Power Apps and Power Automate. The role involves standardizing data models and collaborating with cross-functional teams to support finance reporting.
The MLOps Engineer will build and maintain the data infrastructure and automation for an AI team, focusing on offline-capable environments and data pipeline management. The role involves managing Linux servers, containerization, and ML lifecycle tools like MLflow or DVC to support data workflows.
The Senior AWS Cloud Data Platform Engineer will optimize cloud data platforms and manage data integration pipelines. The role involves designing infrastructure as code, creating application blueprints, and supporting data engineering teams.
The Senior Data Analyst/Engineer will design and maintain data pipelines and analytical dashboards for a client in the automotive sector. The role involves using SQL, Python, Power BI, and Databricks to ensure data quality and support business decision-making.
Data Engineer designing and developing big data solutions—covering collection, storage, and modeling—and deploying Spark pipelines in production on cloud platforms (AWS/GCP/Azure) for client projects.
Data Engineer on a strategic data platform project, designing and industrializing ETL/ELT pipelines in a secure cloud environment using AWS and Snowflake, collaborating with Data, DevOps, Architecture, and Security teams.
This senior data engineer role involves developing a personalization context service and data platform on Google Cloud Platform to support machine learning models. The engineer will work with technologies including BigQuery, DataFlow, Kafka, and Terraform to process data from sources like Google Tag Manager.
The Senior Data Engineer will work on a project team to build and improve data pipelines and a central data platform on Google Cloud Platform to support machine learning personalization models.
Data Engineer driving end-to-end data projects (ETL, Data Warehouse) using Azure for an industrial group, as part of a 4-person team responsible from design through operational maintenance with a focus on AI and data trends.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
Groupe Kanbios is seeking a Lead Data Engineer to design and implement scalable data architectures and lead a technical team. The role involves collaborating with product and business stakeholders to build data pipelines and ensure high data quality and governance.
Data Engineer designing and optimizing data integration and analytics pipelines using SAP Datasphere and Databricks within a BI landscape, advancing data governance across SAP ecosystems.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with cross-functional teams to implement ETL/ELT processes, CDC flows, and CI/CD automation.
The Data Engineer will design, build, and maintain scalable data pipelines and analytics models using SAP technologies and Databricks. The role involves collaborating with cross-functional teams to optimize ETL/ELT processes and ensure data governance within the pharmaceutical and supply chain sectors.
The AI & Data Engineer will design, deploy, and industrialize data and AI solutions, including generative AI models like LLMs and RAG. The role involves building data pipelines and maintaining cloud-based platforms using technologies such as Python, SQL, Spark, and Azure.
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.
Niji is seeking a Data Engineer to develop and maintain robust data architectures and pipelines for large-scale client projects. The role involves ensuring data quality and utilizing modern Big Data and industrialization tools like Spark, Kubernetes, and Python.
We couldn't check your fit for this role — add a CV to your profile to see it next time.