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Highly Skilled Data Professional

Highly Skilled Data Professional

beBeeDataMadrid, España
Hace 1 día
Descripción del trabajo

Senior Analytics Engineer

We are seeking a highly skilled and experienced data professional to join our Data & Analytics team.

Key Responsibilities :

  • Design, develop, and maintain scalable, production-grade data sets using dbt to deliver trusted data to internal teams and customers.
  • Own and optimize data models in dbt that support self-service analytics, operational reporting, and Business Intelligence.
  • Develop and maintain Looker explores, views, and dashboards, ensuring consistency between the semantic layer and the underlying dbt models.
  • Ensure data quality, accessibility, and governance by implementing robust testing, documentation, and version control standards.
  • Collaborate closely with cross-functional teams to understand data requirements and translate them into actionable data products.
  • Champion analytics engineering best practices across modeling, documentation, code review, and CI / CD automation.
  • Mentor junior analytics engineers and contribute to the continuous improvement of team workflows, architecture, and data standards.
  • Monitor and improve the performance and reliability of data pipelines with alerting, automated testing, and observability tooling.

Requirements :

  • 5+ years of experience in analytics engineering, data engineering, or related software development experience
  • Expert-level SQL and strong hands-on experience with dbt for transforming and modeling data in the warehouse.
  • Deep experience with modern cloud data warehouses such as BigQuery, Redshift, or Snowflake.
  • Deep understanding of data modeling principles (dimensional modeling, star / snowflake schemas, normalization / denormalization).
  • Strong understanding of data quality and testing frameworks within the analytics stack.
  • Solid understanding of Looker : building explores, LookML models, dashboards, and user-friendly semantic layers.
  • Proficiency with DevOps and Infrastructure-as-Code (IaC) principles, using tools like Git, dbt Cloud / CLI, and CI / CD pipelines to manage analytics workflows.
  • Familiarity with software engineering best practices, including version control, modular design, documentation, and testing strategies
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    Skilled Professional • Madrid, España