Analytical Engineer f/m/d

London, United KingdomOn-site

Responsibilities

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.
Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.
Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.

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.
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 (warehouses, roles, virtual warehouses, performance tuning).
Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions. Data Ops:
Experience applying version control, testing, and observability practices in dbt or similar frameworks. Preferred Visualization:
Experience structuring data for BI tools such as Tableau , focusing on scalability and performance.
Ingestion & Orchestration: Familiarity with Airflow , or similar tools for data ingestion and orchestration.
Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan
By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide.

Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.