Data Infrastructure Architect for Sports Technology

2 weeks ago

Copenhagen, Copenhagen, Denmark Veo group Full time

Veo is a global leader in AI-based sports camera technology, democratizing the world of sports by granting video analysis for teams on all levels. Our innovative solution enables sports teams to record matches and training sessions without a camera operator.

Growing as fast as we do in Veo means that every day is different, exciting, and challenging. But that's not the most remarkable thing about us - it's our people. We've attracted some of the brightest minds in the industry, who are the reason we can create a great product and do it while enjoying ourselves.

As a Senior Data Engineer at Veo, you will own the execution work on building, maintaining, and developing our data platform and infrastructure. This will ensure consistent and foundational operations for our ability to extract value from data to data products, automation, operational understanding, and reporting.

Key Responsibilities:
  • Design, build, and maintain the Veo data platform and pipelines from end-to-end, ensuring data accuracy, availability, and quality for data users across Veo
  • Collaborate closely with stakeholders like business, software engineers, and analytics engineers to understand data requirements, develop data models, and optimize data pipelines
  • Develop and maintain scalable, efficient, and reliable ETL processes using best practices for data ingestion, storage, and processing
  • Propagate rapid, stable, and sustainable data engineering practices across teams, including documentation, code reviews, and knowledge sharing
  • Work with stakeholders to identify and prioritize analytics requirements
  • Proactively monitor data infrastructure, troubleshoot, and resolve data-related issues
  • Contribute to the continuous improvement of data engineering practices
Requirements:
  • Proven experience in a similar role at the Senior level or above
  • Eager to explore technological concepts, practical in approach, and motivated to take initiative
  • A mindset of caring about value created with data for the end users, both internal and external
  • Extensive experience with data infrastructure and architecture at scale
  • Proficient in at least one programming language, preferably Python
  • Fluent in SQL, and you understand the internals of modern data warehouses (ideally BigQuery)
  • Comprehensive verbal and written English communication skills
About the Role:

This is an exciting opportunity to join a thriving work environment where every day brings new excitement. Our rapid growth ensures a diverse and ever-changing atmosphere, where you'll have autonomy and freedom to find the best approaches and solutions.

We're committed to building a diverse, inclusive, and authentic workplace, where everyone's voice is heard. If you're passionate about data engineering and want to make a real difference in the world of sports, apply now

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