Hybrid Data Engineer – Operations Team

at Kognia Sports Intelligence

• Job title: Data Engineer – Operations Team
• Job type: Full Time
• Experience level: Junior
• Salary: €40,000 - €60,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Cloud, Google Cloud Platform, Java, Kafka, Kubernetes, Linux, Python, React, Ruby, Scala, Go
• Location requirements: Hybrid, Barcelona, Spain

About the role

• Data Engineer developing and maintaining scalable data pipelines for Kognia Sports Intelligence. Collaborating with engineers and data scientists to support data-driven decision making.

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
• Willingness to take part in an on-call rotation with your team members

Requirements

• Minimum 1 year in a similar position or 3 years in other engineering roles with relevant responsibilities
• Fluent with one or more high-level programming languages (Python preferred, but also Ruby, Java, Scala, Go, or similar)
• Willing to work mostly in Python but possibility for other stacks as the team may decide on a service-by-service basis
• Experience working with SaaS production architectures in GCP (preferred) or AWS
• Ability to adapt to a fast-paced, changing agile environment
• Interest (if not experience) in DevOps technologies such as Kubernetes
• 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.
• Experience providing data and infrastructure for building and deploying ML models to production (preferred)
• Experience working in multi-functional teams with end-to-end responsibility for product development and delivery within your mission (preferred)
• Front-end experience in React (preferred)
• Interested in being the glue between engineering and research (preferred)
• Experience in data quality and governance (preferred)
• Specific knowledge of GitLab CI/CD (preferred)
• Knowledge of containerization, GitOps, and Linux (preferred)
• Kubernetes experience especially is a big plus (preferred)
• Familiarity with Apache Kafka (preferred)