Data Engineer – Data & AI

Role Overview

Join Red Bull’s dynamic IT team to help turn complex enterprise data into trusted, actionable insights that fuel smarter decisions across the organization.

What You Will Do

Design and operate data products, integration services, and platforms that empower business analysts, data scientists, and AI Engineers worldwide.

Why It Might Be a Fit

Contribute to strong data governance and compliance standards, develop efficient approaches to data ingestion, preparation, integration, and operationalization, and ensure alignment with enterprise architecture standards and best practices.

Requirements

• University degree in IT or business administration with a focus on computer science, data science, or data engineering
• Fluency in English, German is beneficial
• At least three years of experience with analytics tools such as Azure Data Factory, Snowflake, Databricks, BigQuery, Dagster, DBT
• Experience with SQL and Python
• Architectural understanding of databases and ETL/ELT pipelines
• Knowledge of SAP (BW, HANA, SAC), and analytics front-end tools is beneficial
• Demonstrated enterprise mindset, with the ability to align data-engineering solutions with broader business strategy, architecture, governance, security, compliance, and operational requirements
• Experience using AI coding assistants or AI-enabled data-platform tools in a professional environment
• Familiarity with data science and data lake platforms on modern hyperscalers such as Azure or AWS
• Enthusiasm for both engineering tasks and the implementation of business requirements

Benefits

• Dental insurance
• Vision insurance
• Dental insurance
• Vision insurance
• EUR 2,362 gross per month
• Attractive compensation package based on market-oriented salaries