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.
QA Data Analyst at Onepoint in Paris who designs and runs technical and data tests to ensure the reliability and consistency of data flows and processing, working with business and data teams. Core stack: SQL, Snowflake/Databricks, Python and agile QA methods.
Hybrid (Ottawa) Java developer role building, integrating and modernizing the ION/OpenLink Findur financial trading and risk platform for consulting firm Onepoint/Wepoint. Day to day: Java/Eclipse development, SQL/Oracle work, cloud solutions, TDD and DevOps (Jenkins, GitHub, Azure DevOps), plus level-2 application support.
Onepoint, a tech consulting firm, is hiring a Data Engineer in Toulouse to serve clients: auditing their cloud setups, designing GCP-native data architectures, building scalable warehouses (BigQuery, Redshift, etc.), data pipelines (Spark, Dataflow, PubSub), and applying CI/CD, GitOps and IaC practices. Requires prior Data Engineer experience and hands-on GCP knowledge.
Onepoint is hiring a Data Engineer in Toulouse to deliver data/cloud engagements for clients: auditing cloud configurations, designing GCP-native architectures, and building massively scalable data pipelines, while integrating Data Science processes and promoting CI/CD and GitOps practices.
DevOps engineer joining Onepoint's national AWS competency center in Bordeaux, designing, automating and running secure cloud platforms for clients with Terraform, Kubernetes (EKS), GitOps/ArgoCD, Helm, Vault and CI/CD pipelines. Requires around 5 years of Cloud/DevOps experience.
Senior DevOps engineer to accelerate a client platform migration from Azure AKS to Azure Red Hat OpenShift, hardening security, automation, and standardization of a PaaS. Daily work spans Kubernetes/OpenShift, Docker, Helm, GitOps (ArgoCD/Flux), CI/CD pipelines, DevSecOps, and observability, with Java microservices experience.
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think…
Senior Data Science/ML Engineer consultant leading data science projects, building ML/DL models, and delivering data-driven insights using Python and machine learning techniques in a hybrid role.
Développeur backend Java utilisant Spring et JPA/Hibernate pour concevoir des applications industrielles, avec Jenkins, GitLab, SonarQube et Docker/Kubernetes.
Build and maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing end-to-end ETL/ELT pipelines and analytics workflows.
Data Engineer & Analyst builds and maintains data pipelines, cleans and transforms insurance data, and develops ML models using Python, SQL, and AI tools.
Leads the migration of an on-premise data warehouse to the cloud, auditing existing systems, designing scalable cloud architectures, and guiding teams through implementation and documentation.
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Build and maintain scalable data pipelines on Databricks, collaborating with cross-functional teams to deliver robust data architectures.
Build and optimize ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala, and set up a Lakehouse with Delta Lake for reliable, secure data delivery.
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing robust data pipelines and BI solutions using Azure Data Factory and SQL.
Build and maintain scalable ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala to feed reliable, high-performance data for analytics and decision-making.
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose data.
Build and optimize big-data pipelines using Hadoop, Spark, and Python to support client transformations.
We couldn't check your fit for this role — add a CV to your profile to see it next time.