Data Engineer

Looking for a Data Engineer who can combine solid data engineering fundamentals with strong analytics, problem‑solving, and hands‑on use of modern AI tools to ship reliable data workflows and insights daily.

Key responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and AI use cases.
• Use AI assistants and automation tools to speed up development, documentation, data quality checks, and troubleshooting.
• Collaborate with product, engineering, and business teams to translate ambiguous problems into clear data solutions and dashboards.

Required skills

• Strong SQL and at least one programming language (preferably Python) for data processing and automation.
• Experience with data warehousing, batch/stream pipelines, and BI/analytics tools.
• Comfort using AI tools (e.g., code assistants, LLMs, workflow automation) to debug, optimize, and document work.
• Solid problem‑solving, ownership mindset, and ability to work in a fast‑moving, ambiguous environment.