HR Data Engineer

Title:  HR Data Engineer- Contract

• Permanent Contract
• Full-time
• At least 2 years of experience (Junior level)
• Bachelor degree
• DATA ANALYST

Job Description:

Mission

Primary Responsibilities

• Design and Development

  • Experience interacting with data via APIs, including designing and implementing new API endpoints.

  • Develop and maintain robust ETL pipelines.

  • Develop, deploy, and monitor agentic workflows that automate complex, multi-step HR data tasks and integrate with core business systems.

  • Design and implement scalable data architectures to support the training, deployment, and operational data needs of AI agents.

  • Automate processes to reduce manual data entry.

  • Build, refactor and maintain data pipelines that ingest data from multiple sources.

• Data Analysis

  • Ability to work with semi-structured and unstructured data.

  • Assembling large, complex sets of data that meet non-functional and functional business requirements.

  • Identify and implement improvements to our data ecosystem based on industry best practices.

  • Performs business data analysis, identifying key facts and recommendations in accordance with Airbus business standards.

• Data Quality & Governance

  • Follow best practices via pair programming, constructive code reviews, and thorough testing.

  • Identify key HR Data Transformation challenges and build/maintain a robust end-to-end and highly performant data pipelines platform, using cutting-edge technologies.

  • Other duties as assigned.

  • Profile

• Bachelor’s degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.​

• 2 years of experience in SQL and Python.

• Experience building ETL Pipelines using code or ETL platforms.

• Experience designing and implementing scalable data architectures to support the training, deployment, and operational data needs of AI agents.

• Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification, preferred

Physical Requirements

• Onsite 60%
• Remote 40%

Please note that this position is subject to ITAR (International Traffic in Arms Regulations) requirements. To be eligible for consideration, candidates must qualify as a U.S. Person under ITAR regulations, which generally includes:

• U.S. Citizens
• U.S. Permanent Residents (Green Card holders)
• Individuals granted asylum in the United States
• Refugees admitted to the United States

Candidates who do not meet these requirements may not be eligible for this role.