HR Data Engineer- Contract

  • Contrato indefinido
  • Tiempo completo
  • Al menos 2 años de experiencia
  • Licenciatura
  • DATA ANALYST

Labor

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.

Perfil

  • 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.

Competencias

SQL
Python
ETL PIPELINES
ETL PLATFORMS
AI AGENTS
ITAR