Analytical Engineer f/m/d

Analytics Engineer About the Role We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform. In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company. Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture. Key Responsibilities Data Modeling & Transformation Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake . Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures. Apply best practices in modularity, documentation, and testing to ensure long-term reliability. Pipeline Ownership Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring. Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools. Enablement & Collaboration Partner with analysts, data scientists, and business teams to define and deliver trusted data assets. Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake. Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams. What You’ll Need Required Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment. Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques. Warehouse Experience: Deep knowledge of Snowflake (warehouse