Hybrid Data Engineer - Analytics Platform (Madrid)

super; España; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super is building The Playstack across Europe and Latin America, seeking a data platform engineer to design and optimise scalable ETL/ELT pipelines and data models. You will advance semantic layers and curated data marts to enable analytics self-service across the company.

Join a mature analytics platform with 40+ data engineers, leveraging Snowflake/BigQuery, Airflow, and cloud platforms to deliver high-quality, measurable business outcomes while collaborating with product and engineering teams.

Qualifications

• Proven experience with SQL and Python in data pipelines and analytics.
• Knowledge of Kimball or Inmon dimensional modeling concepts.
• Hands-on experience with Snowflake or BigQuery.
• Cloud platform experience (AWS preferred; Azure/GCP valuable).
• Experience with workflow orchestration tools such as Airflow.
• Strong ownership mindset and ability to collaborate with technical and non-technical stakeholders.

Responsibilities

• Design, build, and optimise scalable ETL/ELT pipelines for large, evolving datasets.
• Apply data warehousing methodologies to deliver trustworthy data models.
• Develop and maintain semantic layers and data marts for self-service analytics.
• Orchestrate workflows with modern tooling like Apache Airflow.
• Enforce data quality, lineage, and observability across data products.
• Collaborate with product, analytics, and engineering to deliver measurable business value.

Skills

SQL

Python

Dimensional modeling

Airflow

Ownership mindset

Communication

Tools

Snowflake

BigQuery

AWS

Azure/GCP

Airflow

Job description

Super is building The Playstack across Europe and Latin America, seeking a data platform engineer to design and optimise scalable ETL/ELT pipelines and data models. You will advance semantic layers and curated data marts to enable analytics self-service across the company.

Join a mature analytics platform with 40+ data engineers, leveraging Snowflake/BigQuery, Airflow, and cloud platforms to deliver high-quality, measurable business outcomes while collaborating with product and engineering teams.