Come join a creative team dedicated to improving football performance by combining cutting-edge technology with top football minds!
Kognia Sports Intelligence is seeking Data Engineers to help us build and maintain reliable data pipelines, foster a DataOps mindset at Kognia, and work closely with our engineering and research teams. You will have an opportunity to make a huge impact while collaborating with talented software engineers, data scientists, and more. The salary range is EUR 35-60 plus bonus, commensurate with experience.We are looking for multiple positions in this role and therefore open to a variety of experience levels, minimum 1 year in a similar position or 3 years in other engineering roles with relevant responsibilities. There are leadership opportunities with these roles as well.
Kognia Sports Intelligence
We are a young Barcelona-based startup funded by football industry leaders including superstar Xavi Hernández. Since opening our office in early 2019 with the founders plus 2 engineers, we have grown to 20+.
Our technology begins with video capture in the stadiums, detects player movements and actions, and delivers insights to coaches and players in the form of video clips with overlay illustrating high-level tactical concepts. In September 2020 we went into production with a closed beta and are now selling an MVP already leading the market in automated tactical analysis. We expect strong growth as we gain traction in the next months. We need your help to keep us running smoothly as we scale our operations!
This position is currently mixed remote/office at the discretion of each individual and each team (these days, a typical engineer works from the office once per week, although there is a quite a variety). Although we are flexible on this point based on individual situations, we are prioritizing candidates in the Barcelona area willing to occasionally commute to our office in Sant Joan Despí (20 minutes from Barcelona center). Living in Spain is a fixed requirement, however.
Responsibilities
- Design, build and support modern and scalable data pipelines using data processing frameworks, technologies, and platforms.
- Use best practices around CI/CD, automation, testing, and monitoring of analytics pipelines.
- Collaborate with software engineers, researchers, data scientists, and stakeholders to understand what data is required and how best to make it available in our platform.
- Improve our cloud architecture and design new architectures as the need arises.
- Identify and address possibilities for improvement in areas such as speed of delivery and infrastructure cost reduction.
- Investigate new technologies and approaches as needed.
Skills and qualifications
Required
- Fluent with one or more high-level programming languages (Python, Ruby, Java, Scala, or similar).
- Experience working with SaaS production architectures in GCP or AWS.
- Ability to adapt to a fast-paced, changing agile environment.
- Excellent team player with strong verbal and written communication skills.
- Comfortable working in English – we’re an international team based in Barcelona, with English as our shared language.
Preferred
- Experience providing data and infrastructure for building and deploying ML models to production.
- Experience working in multi-functional teams with end-to-end responsibility for product development and delivery within your mission.
- Interested in being the glue between engineering and research.
- Experience in data quality and governance.
- Specific knowledge of GitLab CI/CD.
- Familiarity with containerization (Docker, Kubernetes), Terraform, GitOps, and Linux.
- Familiarity with Apache Kafka.