Data Engineer (Sports)

Quick Facts

Role: Data Engineer (Sports, all genders)

Focus: Cloud/big data analytics, data pipelines, container-based analytics platforms, and CI/CD

Description

You will implement data pipelines for ingestion and processing and develop container-based analytics platforms with efficient CI/CD. You will translate project-based business requirements into analytics services on AWS, Azure, GCP, or established on-prem Big Data technologies. You’ll also use AI tools confidently, evaluate results critically, and continuously grow your cloud and software engineering expertise.

Responsibilities

• Implement data pipelines, data ingest, and data processing
• Develop container-based analytics platforms and efficient CI/CD pipelines
• Implement business requirements using analytics services from AWS, Azure, GCP or on-prem Big Data technologies
• Continuously upskill in cloud and software engineering technologies to advise customers effectively

Requirements

• Completed degree (or comparable education)
• At least 3 years of experience with AWS/Azure/GCP analytics ecosystem or Hadoop/Kafka Big Data ecosystem
• Development expertise in Java, Scala, or Python
• First experience with build tools and CI/CD pipelines (e.g., Maven, sbt, Git, Gradle)
• Ability to classify cloud strategies (IaaS, PaaS, SaaS)
• Knowledge of infrastructure as code tools (Terraform, Ansible, Puppet)
• Very good German and good English
• Confident use of AI tools in the technical domain with critical evaluation of results

Benefits

• Targeted training offerings (400+ training options)
• Flexible work models supporting work-life balance
• Sports-related employee subsidies and health support