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.
Supports Oracle EPM and Financials systems by analyzing business needs, delivering solutions, and maintaining Oracle EPM Cloud applications (ARCS, EPBCS, EDMCS) for accounting, planning, reconciliation, and data management. Bridges technical and business teams to optimize processes and ensure compliance.
Build AI-powered analytics on Databricks Genie to let users query enterprise data in natural language, develop semantic models, and deploy RAG/LLM solutions for a federal agency.
Data engineer/modeler at Clarrow designing enterprise-grade dimensional data models and robust pipelines across cloud platforms using Spark/PySpark and Databricks, with focus on data quality, governance, and performance-cost optimization.
Data Engineer building and maintaining an on-premise Lakehouse data platform using Python, SQL, Delta Lake, and dbt-core in a regulated, hybrid environment in Brussels.
DevOps Engineer building and maintaining automation, orchestration, and CI/CD pipelines across AWS, GCP, and on-premises infrastructures using Terraform, Ansible, Docker, and Kubernetes.
Leads a team of data engineers to build and maintain a modern data platform using AWS, Snowflake, and Airflow, enabling self-service analytics and governance for a restaurant booking platform operating across Europe.
Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're…
Build and maintain data governance and metadata management platforms using Java, Python, AWS/OCI, Docker, Kubernetes, and Terraform in an on-site São Paulo role.
The Senior Data Engineer will design and build enterprise data products using Microsoft Fabric, working across on-prem and cloud environments. The role involves collaborating with stakeholders to translate business requirements into scalable data pipelines and lakehouse solutions.
The Data Engineer will design, build, and maintain a scalable data platform and MLOps infrastructure using Microsoft Azure, Python, and Spark. The role involves automating data pipelines, implementing data governance, and deploying LLM-based workflows to support data-driven decision-making.
Senior DevOps & QE Engineer at RBC Insurance Technology leading Salesforce CI/CD pipelines, release automation, and test automation strategies using tools like Flosum, Git, and enterprise CI/CD platforms.
The Software Developer will architect and build secure backend services for a metadata management platform using Python, MongoDB, and microservices. The role focuses on delivering scalable solutions for data governance, lineage, and quality within an enterprise data environment.
Designs and implements cloud-native data architectures (AWS/Azure/GCP) and enterprise data platforms (Snowflake, Databricks, etc.) to enable scalable analytics, AI, and automation for clients.
Build and deploy AI/ML tools, including fine-tuning LLMs, to enhance cybersecurity and national security operations in secure environments.
Platform Engineer maintaining and evolving PMI's global data platform—data catalog, quality, lineage, observability—using AWS, Snowflake/Databricks, dbt, Python, Terraform, and CI/CD tooling.
Build and maintain scalable data pipelines on GCP, migrating workloads to BigQuery and ensuring high-quality, production-grade data products for analytics and BI.
Zinkworks is hiring a Data Engineer to design and maintain scalable cloud-based data pipelines and models. The role involves using SQL, Python, and Apache Airflow to integrate data across relational, NoSQL, and graph databases for telecommunications and financial services clients.
Design, build, and optimize cloud-native data pipelines and analytics-ready datasets on Azure Databricks for enterprise clients in healthcare and other industries.
Principal Technical Architect defining and steering application, integration, cloud platform, and data architecture across FT Specialist and Community, using AWS, cloud-native design, domain-driven and event-driven architectures.
Workload — tbd Duration — 10 months Location — Poland Banking and Finance Job Details Technical Requirements: 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial…
We couldn't check your fit for this role — add a CV to your profile to see it next time.