What are the responsibilities and job description for the HR Data Engineer- Contract position at SEGULA Technologies?
Primary Responsibilities
Data Quality & Governance
- 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.
- 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.
- 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
- Onsite 60%
- Remote 40%