We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable — partnering with product and business teams to measure what matters. You'll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What the role involves
- Design, build, and optimise scalable ETL/ELT pipelines for high-volume,



fast-changing datasets.
- Apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models.
- Develop and maintain semantic layers and curated data marts to enable analytical self-service across the company.
- Orchestrate reliable workflows with modern tooling such as Apache Airflow.
- Enforce data quality, lineage, and observability practices to ensure confidence in our data products.
- Partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value.
- Raise the engineering bar through code reviews, testing, automation, and architectural improvements.

What we are looking for
- Strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures.
- Deep knowledge of dimensional data modelling (Kimball, Inmon) and hands-on experience build

📌 Data Engineer (España)
🏢 Super Technologies
📍 España