Read by 55 job seekers.

Copenhagen

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.

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

You will bring your experience, opinions, and principles to the design and building of our data platform - ensuring the foundational aspects of our vision for data at Veo can be realized to enable operational clarity from data and allow future data products.

What will you do:

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

What could you bring:

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

At Veo, you'll be part of a thriving work environment where every day brings new excitement. Our rapid growth ensures a diverse and ever-changing atmosphere. We believe in work-life balance and providing a positive culture that allows you to thrive personally and professionally.

Our Copenhagen office mirrors our innovative technology – with an indoor ball court, rooftop terrace, and well-equipped gym. We have created a facility that supports connecting disciplines across the business, facilitates creative thinking, and gives the space to engage with colleagues, our global partners, and the entire Veo community.

Diversity and differences are valuable assets for us. We value diversity and inclusion and welcome people from all backgrounds. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply.

We’re committed to building a diverse, inclusive, and authentic workplace. And you may be just the right candidate for this or other roles.

Still interested? Join us at Veo and become a part of a team that delivers greatness and has a great time doing it.

We will invite for interviews continuously, so apply with LinkedIn or your resume as soon as possible.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $70,000 - $110,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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