Data Engineer (m/w/d)
Core
Building and operating scalable data pipelines, integrations, and reusable data products for analytics, digital products, and AI applications on an AWS-based platform.
Role type
Senior Data Engineer (AI-ready Data Foundation)
Builds
AWS-based data platform, AI-ready data foundation, scalable data pipelines, and data products for analytics and AI.
Domain
Sports media, AWS cloud, Generative AI, and Data Engineering.
Deliverable
production ML models
Required skills
SQL, Python, Data modeling, ETL/ELT, APIs, Terraform, Infrastructure as Code, Git, CI/CD, Testing, AWS
Preferred skills
Data Lake/Lakehouse architectures, dbt, Data Catalogs, Metadata Management, LLM APIs, RAG, Tool Calling, MCP, Agent Frameworks, Qlik Sense
Technologies
AWS, Terraform, Git, CI/CD, dbt, Qlik Sense
Responsibilities
Conceive, develop, and operate scalable data pipelines and data integrations; Ensure data quality, observability, and reliable data processes via automated testing and monitoring; Build and evolve an AI-ready data foundation; Integrate AI and agents into data engineering workflows; Collaborate with business units and product teams to translate requirements into scalable data solutions.
Seniority
Mid-to-Senior, hands-on IC