Overview
Senior Data Analytics Engineer (remote, Romania) who engineers analytics pipelines and systems across the analytics stack—turning data into actionable insights for the business.
What you'll do
- Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB.
- Write sophisticated, performant SQL to extract insights from large-scale datasets.
- Build internal tooling and automation using Python and FastAPI.
- Architect and build data infrastructure spanning pipelines, warehouse, schemas, and scalability/maintainability.
- Use AI/ML features to augment analytics workflows and deliver smarter outputs.
- Communicate findings to technical and non-technical stakeholders and translate data into action.
What you'll need
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field.
- Expert-level SQL with strong BigQuery and MariaDB experience.
- Strong Python and/or JavaScript skills for pipelines, internal tools, APIs, and automation.
- Deep understanding of data architecture, including structure, data flow, and evolving schemas.
- Hands-on experience applying AI/ML capabilities (including LLMs, generative AI, embeddings) to analytics.
- Proficiency with AI-powered development tools (Windsurf, Gemini, Claude, Cursor, or similar).
Details
- Work location: Remote in Romania.
- Travel: as required for the job (minimal).
Read the full description and apply on the company’s own careers page.