Senior Data Analytics Engineer, Platform & Dashboards

super; España; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Strong SQL

Data warehouse modelling

Tableau

Stakeholder collaboration

Data quality & observability

CI/CD for analytics

Tools

Snowflake

BigQuery

Redshift

Tableau

Job description

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.