OverviewJoin to apply for the Data Analytics Engineer role at HuspyThe Main Event: What You’ll Drive, Build, and OwnArchitect our Data's Future: Design, build, and own the transformation layer of our data stack using dbt and Snowflake, creating clean, reliable, and scalable data models that serve as the single source of truth.Guarantee Data Trust and Integrity: Develop automated reconciliation processes to validate that raw data coming from Kafka matches our core application portals, ensuring every number is trusted and establishing a verified Single Source of Truth for each dataset.Build a Self-Serve Platform: Empower business users and analysts by developing curated tables and connecting them to our BI tool, Looker, enabling true self-service analytics.Automate for Quality and Scale: Implement robust CI/CD pipelines and GitHub automations (e.g., required tests, SQL linting) that validate pull requests before merging, enforcing high standards and allowing the team to scale confidently.Implement Modern Data Governance: Develop and implement strategies for handling Personally Identifiable Information (PII) and manage the full data lifecycle (from ingestion to archival), ensuring our platform is secure, compliant, and cost-effective.Optimize for Scale and Cost: Develop a deep understanding of our Snowflake usage and AWS costs, implementing best practices to ensure our platform is as efficient as it is powerful.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4+ years in an Analytics Engineering or a data modeling-heavy Data Engineering role.dbt is Your Superpower: Expert-level proficiency with dbt (Core or Cloud). You can speak fluently about macros, packages, testing, and project structure.SQL & Data Warehousing Master: Advanced SQL skills and deep experience with a cloud data warehouse like Snowflake (preferred).A Modeler’s Mindset: Strong, demonstrated understanding of dimensional modeling concepts (e.g., Kimball methodology) and the ability to design data models that are both comprehensive and easy to understand.Pragmatic Programmer: Proficiency in Python for scripting, automation, and data pipeline development.Cloud Native: Hands-on experience with cloud platforms, preferably AWS.Excellent Communicator: You can translate complex technical concepts to non-technical stakeholders and understand how to turn business requirements into robust data models.The Edge: What Will Make You Stand OutExperience building and maintaining BI layers in tools like Looker (LookML).Experience working with event streaming data from Kafka.Familiarity with data governance tools.A keen eye for cost optimization in a cloud data warehouse environment.Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred. #J-18808-Ljbffr