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.
Designs and evolves scalable data architectures for PNC’s Asset Management Group, migrating legacy systems to modern lakehouse/open-data platforms while ensuring governance and alignment with business strategy.
The AI Staff Platform Engineer will design and build scalable Azure-based platform capabilities to support AI workloads, including LLMs, RAG, and agentic workflows. The role involves creating reusable components, optimizing performance, and providing technical leadership to integrate AI solutions across the business.
Agentic AI Engineer Position ID: P946333 Location: Hangzhou, China Employment Type: Full-time Role Summary We are seeking an experienced Agentic AI Engineer to design, build, and evolve enterprise-grade Agentic AI…
Data Architect in AtkinsRéalis's Secure Government unit (Cheltenham), designing enterprise and solution-level data architectures, data models, and pipelines for defence, security, and government clients using cloud platforms, ETL/ELT, and modern data lake/warehouse patterns.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
Designs and governs a secure AWS data lake and integration architecture for a UK defence programme, ensuring compliance across multiple security classifications.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
Lead data engineering for real-world data initiatives, designing and operating a lakehouse (medallion architecture) on Azure Databricks with SQL and Python to deliver standardized data products across clinical, safety, and corporate domains at a large CRO.
The Director of Data Engineering will lead global teams to design and implement enterprise-grade data lakehouse architectures using Azure Databricks and medallion principles. This role focuses on delivering high-quality, governed data products to support clinical and operational analytics within a life sciences environment.
Senior Business Analytics Translator bridging business and technical teams—gathering requirements, writing SQL queries, prototyping dashboards (Power BI/Tableau), maintaining data dictionaries, and supporting data governance at Toyota's Zárate plant.
Data Architect responsible for defining, evolving, and governing Toyota LatAm's lakehouse data platform architecture, including data modeling, security standards, and governance practices using cloud data platforms like Azure, AWS, and Databricks.
Senior Data Engineer building data pipelines, ETL jobs, and cloud data platforms (AWS/Azure) for consulting clients, using Python, Terraform, and GitLab.
Lead data engineering for LillyDirect, a direct-to-patient pharmacy platform, building HIPAA-compliant data pipelines, consent governance, and semantic layers using SQL, Python, Databricks, and cloud DW tools in a regulated pharma environment.
Job Family Group: Subsurface Group Job Description: bpx energy, a major oil and gas producer in the United States, leverages its expertise in unconventional gas, including shale, to deliver hydrocarbon production and…
Lead the data analytics and engineering team, designing and maintaining enterprise data platforms and ETL/ELT pipelines using SQL, Python, Snowflake, and cloud services to support clinical and business stakeholders.
Design and build cloud-native data platforms and pipelines to power Mastercard’s AI and Generative AI solutions, including feature stores, vector databases, and MLOps workflows.
Leads AI adoption and education programs, translating business needs into AI-driven workflows and training for non-technical teams. Focuses on prompt design, agentic AI, and responsible AI use across enterprise systems.
US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 13,000 employees located throughout the country. Since our founding in 2009, we…
The MLOps Lead Engineer will design and automate end-to-end machine learning production lifecycles on the Databricks Lakehouse platform. This role involves leading technical implementations, managing CI/CD/CT pipelines, and providing governance and upskilling for client-side engineering teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.