Senior Data Analytics Engineer, Platform & Dashboards

super; España; Presencial; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Descripción de la vacante

Super is building a mature Analytics Platform across Europe and Latin America. We are seeking a data-driven Analytics Engineer to design curated datasets, model data warehouses, and deliver reliable dashboards that power self-service analytics for product, business, and engineering teams.

You will partner with data scientists and stakeholders, ensure data quality and observability, and push for automation and CI/CD in analytics.

Formación

• Proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred).
• Strong data modelling principles and semantic consistency.
• Experience with reporting/BI tools (Tableau preferred).
• Production mindset: reliability, maintainability, and documentation for analytics.
• Ownership and collaboration skills to work with technical and non-technical teams.

Responsabilidades

• Design and build curated analytical datasets, metric implementations, and semantic models for self-service analytics.
• Model data warehouses for scalable, reusable structures.
• Partner with product, data scientists, and stakeholders to translate requirements into reliable data models and outputs.
• Build and own production dashboards (Tableau) on top of curated datasets.
• Improve data quality, observability, lineage, and documentation.

Conocimientos

Strong SQL

Data warehouse modelling

Tableau

Stakeholder collaboration

Data quality & observability

CI/CD for analytics

Herramientas

Snowflake

BigQuery

Redshift

Tableau

Descripción del empleo

Super is building a mature Analytics Platform across Europe and Latin America. We are seeking a data-driven Analytics Engineer to design curated datasets, model data warehouses, and deliver reliable dashboards that power self-service analytics for product, business, and engineering teams.

You will partner with data scientists and stakeholders, ensure data quality and observability, and push for automation and CI/CD in analytics.