Fullstack Engineer (Semantic / Analytics) (m/f/d)

• Build and evolve the semantic layer in dbt and Snowflake semantic views, including business entities, metrics, dimensions, and reusable data models.
• Define KPIs, business logic, canonical data definitions, and semantic consistency standards together with business and product stakeholders.
• Expose curated data for BI tools (Amazon QuickSight, Apache Superset), APIs, downstream product use cases, and AI consumption including Snowflake Cortex AI.
• Collaborate with platform, AI, solution, product, and business-facing teams to ensure semantic models reflect fresh, reliable data from operational systems.

This role enables companies to build transparent, sustainable supply chains by making data accessible and actionable through semantic modeling, BI, and AI, driving positive environmental and social impact.

• Very strong hands-on SQL skills and broad, deep database knowledge, including data modeling.
• Strong hands-on experience with Snowflake, including Snowflake semantic views, and hands-on experience with dbt at scale.
• Experience building semantic layers, reusable metrics, canonical data models, and analytics engineering assets.
• Strong Python skills and experience building APIs (REST or GraphQL) and solid AWS stack know-how.

Attractive compensation as part of a growing company. 30 days of paid vacation, EGYM Wellpass membership, flexible working models, inspiring office spaces in Munich, flexible remote work within Germany, professional and motivated team, flat hierarchies with ownership.

IntegrityNext builds a shared AI and data platform on AWS for supply chain and product compliance, helping companies ensure sustainability and ethical practices across their supply chains.