Data Engineer
Skills
Analytical SkillsBusiness Case PreparationCompetitive LandscapeComputed TomographyInterest RatesInvestment ValuationMarket Sizing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years of professional experience in Data Engineering or a closely related field
- Hands-on experience designing and building ETL/ELT pipelines data warehouses analytics platforms or distributed data systems
- Experience with modern data engineering technologies cloud platforms databases orchestration tools or data processing frameworks
- Regular experience using AI coding agents such as Cursor Claude Code Codex Windsurf Gemini CLI or similar tools
- Ability to critically evaluate AI-generated data infrastructure pipelines queries and implementations
- Strong understanding of data quality pipeline reliability scalability performance optimization and distributed systems
- Experience operating or supporting large-scale data platforms is preferred
- Strong analytical troubleshooting and problem-solving skills
Nice to have
- Analytical
- Detail-oriented
- Critical thinker
- Problem solver
Day to day
- Work with advanced AI coding agents on realistic data engineering tasks and evaluate their outputs.
- Review AI-generated implementations across ETL/ELT pipelines data warehouses analytics platforms and distributed data systems.
- Apply professional engineering judgment to identify bugs edge cases performance risks reliability concerns and failure modes.
- Provide detailed structured feedback and document findings clearly to help improve AI coding models.