Senior Analytics Engineer

As a Senior Analytics Engineer at Enfuce, you act as a technical authority for data and analytics across the company. You define how data is transformed, modeled, governed, and consumed, and you build the foundations that make scalable, reliable self-service analytics possible. You operate across domains, set technical direction, and lead complex, ambiguous initiatives end-to-end.

Requirements

• 5+ years of experience as an Analytics Engineer (or equivalent)
• Deep technical expertise in modern data warehouses (e.g. Snowflake), analytics transformation tooling (e.g. dbt), and self-service analytics platforms (e.g. ThoughtSpot, Looker)
• Strong command of SQL and data modeling, with the ability to design scalable transformation layers, semantic models, and reusable analytics patterns
• Hands-on experience owning and improving CI/CD pipelines, developer workflows, testing strategies, and observability for analytics in production
• Demonstrated ability to optimize analytics for performance, cost, and reliability across transformation and BI layers
• Strong understanding of data mesh principles, including domain ownership, data products, and shared governance guardrails
• Solid experience with data governance, including data privacy, RBAC, masking, and operating in regulated or security-conscious environments
• Experience owning or driving lineage, metadata, and data catalog practices to improve discoverability, trust, and usability of analytics assets
• Experience acting as a technical mentor and escalation point, providing guidance through deep code, modeling, and architectural reviews

Benefits

• Fair pay and employee stock option
• Flexible paid time off
• Regular fun with your team
• Individual learning budget
• Healthcare Insurance, mobile phone, and more