Data Engineer – Data & AI

Red Bull; Elsbethen; On-site; EUR 24,000 - 29,000; Full time

Job summary

Red Bull is seeking a data engineering specialist to design and operate data products and ELT pipelines across the organization. You will collaborate with data scientists, analysts and solution architects to implement scalable data solutions using Snowflake, Azure Data Factory, DBT, Dagster and Databricks while upholding governance and security standards.

You will work with business and IT stakeholders to deliver AI-ready analytics foundations, ensuring high data quality, metadata, and reliable

Qualifications

• University degree in IT or business administration with a data focus.
• Fluency in English; German is beneficial.
• At least three years with analytics tools: Snowflake, ADF, Databricks, BigQuery, Dagster, DBT.
• Experience with SQL and Python; knowledge of SAP is a plus.
• Ability to align data engineering with enterprise strategy, governance, security, and compliance.

Responsibilities

• Collaborate with data scientists, analysts, and architects to shape data solutions and ELT pipelines.
• Develop scalable data pipelines using Snowflake, ADF, DBT, Dagster and related platforms.
• Ensure data governance, security, and compliant operations across the data ecosystem.
• Partner with IT, business units and DevOps to maximize data availability and quality.

Skills

SQL

Python

Data governance

Stakeholder mgmt

Education

University degree in IT or business administration

Tools

Snowflake

Azure Data Factory

DBT

Dagster

Databricks

BigQuery

Job description

Be part of the force driving Red Bull’s data and AI future. Join our dynamic IT team and help turn complex enterprise data into trusted, actionable insights that fuel smarter decisions across the organization. By bridging business, data science, and IT, you’ll design and operate the data products, integration services, and platforms that empower business analysts, data scientists, and AI Engineers worldwide.

This is your opportunity to make a real impact in a highly integrated, global environment shaping the next generation of data engineering and AI-powered analytics at Red Bull.

All the responsibilities we’ll trust you with:

DATA ENGINEERING

In this role, you will collaborate closely with data scientists, business analysts, and solution and analytics architects to shape innovative data solutions and products while driving the implementation, testing, and support of modern data pipelines using contemporary engineering practices. By developing efficient approaches to data ingestion, preparation, integration, and operationalization, you will contribute to strong data governance and compliance standards. You will develop dynamic ELT pipelines using modern analytics engineering platforms and technologies such as Snowflake, Azure Data Factory, DBT, and Dagster, while creating data solutions that are scalable, secure, reusable, and easy to maintain. By ensuring alignment with enterprise architecture standards and best practices, you will help build a robust and future-ready data ecosystem that supports business growth and innovation.

DATA & AI ENABLEMENT

You will apply AI in ways that support business objectives while ensuring adherence to security, privacy, governance, and responsible AI principles. Working closely with AI engineers, you will help design and productionize the data foundations required for AI-powered analytics, ensuring that AI systems have access to the high-quality data, features, embeddings, metadata, and evaluation datasets needed to deliver reliable and scalable outcomes.

STAKEHOLDER MANAGEMENT

You will work closely with Data Science teams, Data Cloud Architects, and business stakeholders to establish and continuously enhance governance frameworks and processes that promote the responsible and effective use of data and technology. By building strong relationships across IT, Data, Sales, Operations, Marketing, Finance, and other business functions, you will foster alignment and collaboration across the organization. In partnership with DevOps, MLOps, and Analytics Engineers, you will help maximize data availability, reliability, and accuracy while continuously improving data quality to enable the development of innovative and impactful data products.

PROJECT MANAGEMENT

You will work closely with stakeholders to gain a deep understanding of business requirements and use cases, translating insights into effective data-driven solutions. At the same time, you will drive continuous process improvement initiatives to enhance efficiency and service delivery, while creating clear documentation and engaging presentations that facilitate knowledge sharing, alignment, and effective communication across teams.

Your areas of knowledge and expertise that matter most for this role:

• 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

Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,362 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.