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Data Engineer, AI
OrbiaEntry-level role supporting Orbia’s Data & AI strategy by building data pipelines and analytical models. Collaborate with cross-functional teams to translate requirements into data/AI solutions.
Tech Stack
Tools & technologiesAzureETLPython
About the role
Key responsibilities & impact- Build and maintain data pipelines on Azure, Databricks, and Microsoft Fabric
- Design and support analytical data models for reporting, dashboards, and AI use cases
- Develop Python scripts for data ingestion, transformation, automation, and analysis
- Support AI/ML solutions (incl. RAG use cases) and assist in model deployment
- Create and maintain Power BI datasets and reports
- Partner with business teams to translate requirements into data/AI solutions
- Ensure data quality, testing, documentation, and adherence to best practices
- Follow data governance, security, and compliance standards
Requirements
What you’ll need- 0–3 years’ experience (or recent graduate) in Data Engineering, Analytics, or related field
- Hands-on with Python and modern data stack (Azure, Databricks, Fabric preferred)
- Basic understanding of data modeling, ETL/ELT, and ML concepts
- Strong problem-solving skills and willingness to learn fast in a global setup
Benefits
Comp & perks- Exposure to enterprise-scale data & AI platforms
- Work in a cross-functional, international team
- Impact business decisions through data products and insights
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondata pipelinesdata modelingETLELTAIMLdata ingestiondata transformationdata analysis
Soft Skills
problem-solvingwillingness to learn