Senior Analytics Engineer

Global leader in AI-based sports camera technology providing automatic camera solutions for sports teams to record matches without operators.
Copenhagen, Denmark
Data
Senior Software Engineer
In-Person
AI · Sports Technology
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Description For Senior Analytics Engineer

Veo is revolutionizing sports technology as a global leader in AI-based camera solutions, serving over 40,000 clubs across 90+ countries. They're democratizing sports video analysis by making it accessible to teams at all levels. As a Senior Analytics Engineer, you'll be at the forefront of building and maintaining the company's data infrastructure.

The role combines technical expertise with business acumen, requiring you to design and implement foundational datasets that drive company-wide decision-making. You'll work with dbt, SQL, and modern data warehouse technologies to transform raw data into reliable, documented data products. The position demands strong technical skills in data modeling, software engineering practices, and analytics engineering.

Veo offers a dynamic work environment in their Copenhagen office, complete with modern amenities including an indoor court, rooftop terrace, and gym. The company culture emphasizes work-life balance, innovation, and cross-functional collaboration. You'll join an international team with a flat organizational structure where every voice matters.

The ideal candidate brings expertise in SQL, dbt, and Python, along with experience in data modeling and software engineering best practices. You'll need to be technically curious yet practical, with a strong focus on creating value through data for both internal and external users. The role offers significant impact on technology development and the opportunity to shape the future of sports analytics.

Veo values diversity and inclusion, welcoming people from all backgrounds. The company's rapid growth ensures an exciting, ever-changing atmosphere where you can make a real difference in the sports world while developing professionally in a supportive environment.

Last updated a month ago

Responsibilities For Senior Analytics Engineer

  • Design, build, and maintain foundational data models for decision-making
  • Partner with stakeholders to understand business context and decisions
  • Implement warehouse best practices for data transformation
  • Shape analytics engineering standards through best practices and code reviews
  • Build scalable solutions using dbt, SQL, and appropriate data tools
  • Review and improve data quality, testing, and documentation
  • Contribute to analytics engineering practices and processes

Requirements For Senior Analytics Engineer

Python
  • Expertise in SQL and dbt
  • Experience with data modeling and software engineering best practices (CI/CD, Git, testing)
  • Familiarity with orchestration tools (Airflow, Dagster, Stitch, Airbyte)
  • Proficient in at least one programming language, preferably Python
  • Understanding of modern data warehouses (ideally BigQuery)
  • Comprehensive verbal and written English communication skills

Benefits For Senior Analytics Engineer

  • New office with contemporary amenities and indoor court
  • Rooftop terrace
  • Well-equipped gym
  • Work-life balance
  • Flexible work environment
  • International team with flat organizational structure
  • Meaningful work in sports technology

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