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.
Consultant builds and delivers data pipelines and AI solutions using SQL, Python, and low-code platforms on GCP or AWS for enterprise clients.
Builds quantitative risk models for financial and environmental risks, then advises banks on integrating climate and ESG factors into their risk frameworks using Python and statistical methods.
Lead a team building and scaling big-data and cloud platforms for a major French postal and logistics group.
Analyze automotive industry data to generate reports, spot trends, and clean databases for Yazaki’s mobility solutions.
Build and automate data migrations for executive search firms moving to an AI-native ATS/CRM, while shipping product features and advising customers on API integrations.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients.
Lead a team of data engineers to design, deploy, and maintain GCP-based data platforms and pipelines for a digital-first bank, setting best practices and driving adoption of modern data engineering tools like Kafka, BigQuery, and Kubernetes.
Associate Value Engineer at Celonis helps customers implement process-mining solutions to optimize business operations using data science and strategy.
Lead a hybrid team designing and maintaining scalable, high-quality GCP data pipelines using Python and SQL for Thales' cloud infrastructure.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, warehouses, and Power BI reports for clients in finance, healthcare, mobility, and climate sectors.
Senior Analytics Engineer builds modern data platforms for finance and transport clients, designing cloud-based architectures and optimizing SQL/orchestration workflows.
Build and maintain data pipelines and a cloud data warehouse using AWS and Databricks, then expose clean datasets and dashboards to business teams while contributing to ML/AI use cases.
Acts as a technical business analyst bridging business needs with back-end and data teams, working on data and application solutions using Java, REST APIs, PostgreSQL, Cassandra, Spark, and Kafka.
Lead a data engineering team at Siemens Mobility to manage and govern data systems powering next-gen metro projects, ensuring cost, quality, and delivery targets are met.
Own and scale a data-privacy platform, implementing privacy-by-design data lifecycles and self-serve tooling while collaborating with legal, security, and product teams.
Build and maintain data pipelines, implement dbt models, and create Power BI dashboards to support analytics and AI-driven insights for international clients.
Build AI-driven digital products and financial solutions as a full-stack engineer, collaborating with product and data teams from discovery to deployment.
Lead a data engineering team to build and maintain data pipelines and datasets for a healthcare company using Snowflake and CI/CD practices.
Manage a European data-engineering team, build and optimize Snowflake/Matillion pipelines, and enforce quality, monitoring and documentation standards.
Build and automate a Databricks-based data platform on AWS using Terraform, focusing on Unity Catalog, infrastructure-as-code, and CI/CD pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.