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About
About The Role: 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. You partner closely with Data Engineering, Product, and business teams to ensure analytics solutions are performant, cost-efficient, secure, and production-grade. This is a senior individual-contributor role with broad technical ownership and significant influence over the analytics platform and operating model. What You'll Be Doing: Define and evolve analytics modeling standards, architectural patterns, and semantic layers across domains to ensure consistent, trusted, and scalable analytics. Drive data mesh enablement across analytics by defining domain boundaries, ownership models, data products, and shared guardrails that scale self-service without fragmentation. Own data governance for analytics, including data privacy, RBAC, access patterns, and compliance requirements, ensuring secure and regulated use of data across tools and domains. Design and maintain data contracts, SLAs, and SLOs for analytics datasets and critical metrics, setting clear expectations for quality, freshness, and reliability. Own and continuously improve CI/CD, developer experience, and observability for analytics, making development, deployment, and debugging reliable and low-friction. Optimise analytics performance and cost across transformation and BI layers by improving query design, warehouse usage, materialisation strategies, and asset lifecycle management. Own end-to-end lineage, metadata, and cataloging practices to ensure analytics assets are discoverable, well-documented, and easy to understand and trust. Act as the technical escalation point and mentor for Analytics Engineers, leading deep reviews and raising standards in modeling, testing, and architecture. Lead complex, cross-domain analytics initiatives independently from problem definition through delivery, coordinating with Data Engineering, Product, and business stakeholders. What You'll Bring: 5+ years of experience as an Analytics Engineer (or equivalent), with proven ownership of complex, cross-domain analytics initiatives. 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. Able to operate autonomously in ambiguous environments, set technical direction, and collaborate with stakeholders across Data Engineering, Product, and the wider business. Why You'll Love Working at Enfuce High autonomy & ownership: We give you the freedom to own your work and trust you to make the best decisions for your projects. Top-tier talent: Join a team of industry experts and highly skilled engineers who are as passionate as you are about innovation. Unlimited growth potential: We support your ambition with plenty of room for personal and professional growth within the company. Flexible, remote work: Work from anywhere up to 30 days, in an environment that values flexibility and work-life balance. A supportive culture: You'll be part of a team that encourages, motivates, and celebrates success together. Comprehensive benefits package: We take care of our people with great benefits to match the value you bring. Benefits & Perks: Fair pay and employee stock option:
We value the input of every employee and want you to tap into the growth we build together. That's why our salaries are competitive and reassessed regularly, and you have access to an employee stock option program. Flexible paid time off:
We offer a flexible paid time off policy, providing up to 5 weeks of annual vacation days and paid family leave (subject to country regulations). Additionally, you can benefit from hybrid or remote work options, promoting a healthy work-life balance. Regular fun with your team:
To spend other than work-related time with your teammates, you get a team activity budget for three quarters a year. The fourth quarter is reserved for a company-wide event.
Languages
- English
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