Senior Data Engineer

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week. Growing as fast as we do in Veo means that every day is different, exciting, and challenging, both on the front line and in the back office.
But that’s not the most remarkable thing about us.
The coolest thing is our people. We’ve attracted some of the brightest minds in the industry. They are the reason we can create a great product and do it while enjoying ourselves.
About the role
As a Senior Data Engineer, you will own the executional work on building, maintaining, and developing our data platform and infrastructure. Build and maintain the data infrastructure that powers Veo's operational backbone—from platforms tracking sales performance and inventory levels to data products that enable automation, business insights, and strategic reporting across the organization.
Join at a stage where you can help build quality into the foundation—working with the team to establish robust monitoring, testing, and data quality practices. You'll tackle scale challenges while influencing architectural decisions and seeing your work power the operational systems that run Veo's business on a daily basis. What will you do:

• Design, build, and maintain the Veo data platform and pipelines from end-to-end—covering sales, inventory, operational metrics, and customer data—ensuring data accuracy, availability, and quality for data users across Veo
• Collaborate with business stakeholders, software engineers, and analytics engineers to understand requirements and optimize pipelines, while propagating sustainable practices through documentation, code reviews, and knowledge sharing
• Develop and maintain scalable, efficient, and reliable ETL processes, establish best practices for data ingestion, storage, and processing
• Work with stakeholders to identify and prioritize analytics requirements
• Proactively monitor data infrastructure, troubleshoot, and resolve data-related issues
• Contribute towards a culture of continuous improvement of data engineering practices

What could you bring:

• Proven experience in a similar role at Senior level
• Motivated by a technical curiosity, with a practical approach
• 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