Senior Analytics Engineer | Partners

📋 Description

• Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.
• Evolve existing data assets and processes, raising the bar on data standards, definitions, and governance within the Partners business area.
• Build AI-powered capabilities — data/AI agents, reusable skills, and natural-language interfaces — that amplify the team's productivity.
• Model and enrich our BI semantic layer (Looker/LookML preferred) so both humans and AI tools can reliably consume it.
• Partner with Data Analysts, Data Engineers, and business stakeholders to turn loosely defined needs into clear, well-scoped technical work.
• Communicate complex technical concepts and trade-offs clearly to non-technical audiences.

🎯 Requirements

• 3-5+ years in analytics/data engineering; hands-on experience in complex pipelines and data modeling.
• Excellent SQL and production-grade Python for automation pipelines.
• Experience with full data lifecycle; data mesh or decentralized architecture a plus.
• Hands-on with semantic layer/BI modeling tool (LookML/Looker preferred).
• Practical knowledge of AI/LLMs: designing context for AI agents and instructing models.
• Strong autonomy and organization; thrives in unstructured, high-demand environments.
• Strong execution and ownership, delivering end-to-end solutions.
• Advanced English written and verbal communication skills.

🎁 Benefits

• Free Gold+ membership with gyms and wellness resources; up to 3 family members.
• WELLZ emotional wellbeing program with therapy sessions and on-demand content.
• Health, dental, and life insurance.
• Flexible Work: hybrid and remote options; home office reimbursement.
• Flexible Schedule: adapt to time zones and team needs.
• Paid time off and parental leave: vacations after 6 months; 100% paid parental leave.