Enhesa
Regulatory and sustainability intelligence
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer at Enhesa. Skills: SQL, Dimensional modeling, Spark lakehouse. Maintain medallion-layer hygiene. Apply engineering practices”
Industry & Context.
Problem solving depth; Decomposes weighs trade digs for root cause
What They're Looking For.
Must Have
Advanced SQL, Dimensional modeling, Spark lakehouse, Semantic layer awareness, Analytics mindset, Data quality, Stakeholder partnership, Ownership, Problem solving depth, Fluent in English
Nice to Have
Microsoft Fabric, Git branching, CI/CD checks, Environment promotions, Secure access patterns, Least privilege, Data classification
What You'll Do.
Maintain medallion-layer hygiene
Apply engineering practices
Manage stakeholders proactively
Negotiate scope/timelines
Communicate trade offs
How You'll Work.
Team & Collaboration
Manage stakeholders proactively; Negotiate scope/timelines; Communicate trade offs and impact clearly; Stakeholder partnership; Educates business users
Communication Scope
Communicate trade offs and impact clearly
Process & Methodology
Negotiate scope/timelines
Full Job Description
Who We Are: Enhesa is the leading provider of regulatory and sustainability intelligence worldwide. As a trusted partner, we empower the global business community with the insight to act today and prepare for tomorrow to create a more sustainable future - positively impacting our environment, our health, our safety, and our future. Navigating the fast-changing compliance and sustainability landscapes, we help them understand not just what they should do (first) but also how to do it. Both in their unique business and anywhere in the world. Now and in the future. Our Mission: Identify EHS requirements for the industry Provide EHS compliance tools to companies Advise companies in developing and implementing corporate EHS strategies Enhesa’s core clients include Fortune 500 multinational companies. For more information, visit www.enhesa.com As part of our highly dynamic team, we offer: A competitive salary package maintain medallion-layer hygiene (partitioning, file sizing, OPTIMIZE/VORDER, schema evolution) in Microsoft Fabric. Apply strong engineering practices and governance: Git branching, CI/CD checks, environment promotions, runbooks; secure access patterns (RLS/OLS), least privilege, and data classification. Manage stakeholders proactively—surface risks, negotiate scope/timelines, and communicate trade offs and impact clearly. Education Level Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent practical experience). Experience 3+ years in Analytics Engineering, Data Engineering, or Business Intelligence, with hands-on delivery of production analytical data models and curated datasets consumed by reporting and/or self-service analytics. Required Technical Skills Advanced SQL: CTEs, window functions, query performance tuning, and reusable transformation logic. Dimensional modeling: star schemas, OBTs, fact grain definition, SCD Type 1/2, conformed dimensions, and analytics-ready denormalized patterns experi
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