Data Engineer

Reposted 18 Days Ago
Be an Early Applicant
Spain
Mid level
Gaming • Information Technology • Financial Services
Rewriting the rules of sports betting & gaming
The Role
Design and build scalable ETL/ELT pipelines, maintain data models and marts, enforce data quality, and collaborate with teams for data solutions.
Summary Generated by Built In

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Superbet, 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 you'll be doing:
  • design, build, and optimize 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



We're looking for:

 

  • strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures
  • deep knowledge of dimensional data modeling (Kimball, Inmon) and hands-on experience building analytical layers in DWHs such as Snowflake or BigQuery
  • hands-on experience with cloud platforms (AWS preferred, Azure/GCP also valuable)
  • workflow orchestration experience with Airflow or similar tools
  • strong ownership mindset—able to work independently, structure work, and partner effectively with technical and non-technical stakeholders
  • excellent communication skills with a collaborative, problem-solving approach
  • based in Madrid or surrounding area as this will require hybrid work

 


Bonus points for:

  • experience with real-time streaming technologies (Kafka or similar)
  • experience with cloud native Analytical databases like Snowflake
  • multi-cloud exposure and understanding of platform trade-offs
  • background in product-led or experimentation-driven environments
  • experience with data governance, cataloging, and documentation practices (e.g. DataHub)




 

Top Skills

Apache Airflow
AWS
BigQuery
Python
Snowflake
SQL
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The Company
HQ: Pimlico, London
660 Employees
Year Founded: 2022

What We Do

Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day.

We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community.

A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.

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