Senior Data Engineer — Scale Self-Service Analytics

Super Technologies; España; Presencial; EUR 70.000 - 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 Technologies in Spain is seeking a Senior Data Engineer to design, build, and operate scalable ETL/ELT pipelines that power analytics across Europe and Latin America. Join our Analytics Platform team of 40+ engineers to model analytics-ready data, implement robust workflows with Airflow, and collaborate with product and data science to deliver trusted insights.

You will mentor peers, uphold testing and CI/CD standards, and help raise the engineering bar while ensuring data quality and

Formación

• Proven experience building production-grade data pipelines.
• Strong knowledge of dimensional modelling and data warehousing.
• Experience with cloud platforms and scalable data solutions is a plus.

Responsabilidades

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume data.
• Own data initiatives end-to-end from design to production rollout.
• Model analytics-ready data using warehouse methodologies (Kimball, Inmon, etc.).
• Develop curated analytical layers and data marts for self-service analytics.
• Orchestrate workflows with Airflow or Dagster to improve reliability and observability.
• Collaborate with engineers, analysts, product managers, and stakeholders to translate requirements.
• Mentor junior engineers and promote testing, CI/CD, and documentation standards.
• Support architecture decisions balancing speed, quality, and maintainability.
• Ensure data quality and observability across pipelines.

Conocimientos

SQL

Python

Production-grade pipelines

Data warehousing design

Herramientas

Airflow

Dagster

Snowflake

BigQuery

Descripción del empleo

Super Technologies in Spain is seeking a Senior Data Engineer to design, build, and operate scalable ETL/ELT pipelines that power analytics across Europe and Latin America. Join our Analytics Platform team of 40+ engineers to model analytics-ready data, implement robust workflows with Airflow, and collaborate with product and data science to deliver trusted insights.

You will mentor peers, uphold testing and CI/CD standards, and help raise the engineering bar while ensuring data quality and