Data Engineer

Job Summary

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Responsibilities

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure) , Databricks , Palantir Foundry , and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) . The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.

You will manage end-to-end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.

Preferred Qualifications

Basic Qualifications

• Bachelor’s degree in Computer Science ( or a related technical field. ) .
• 3+ years of professional experience technical project delivery , data engineering, or analytics platform implementation.
• Demonstrated project management skills : planning, execution, stakeholder management, risk management, and delivery governance.
• Finance or costing background , with understanding of cost drivers, financial models, or cost engineering processes.
• Data engineering exposure : pipelines, transformations, data modeling concepts, and working with data engineering teams.
• Experience with one or more cloud database environments such as Snowflake , AWS , or Azure .
• Hands-on development and experience with one or more of the following :
• Snowflake, AWS, or Azure
• Databricks
• Palantir Foundry
• SQL
• Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications

• Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
• Experience with agentic AI chatbot development or internal AI assistants.
• Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
• Experience with enterprise governance for analytics platforms.
• Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management. Skills & Competencies:
• Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
• Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
• Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
• Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
• Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
• Passion for digital transformation, automation, and AI-driven solutions.