Senior Data Engineer

OWN THE TECHNICAL ARCHITECTURE

As a Senior Data Engineer, you own the technical blueprint for the platform's future. This involves designing solutions, documenting them clearly, and driving the key architectural discussions to ensure alignment across teams.

PROVIDE TECHNICAL GUIDANCE FOR EXTERNAL PARTNERS 

You are responsible for the technical steering of our external development partners, setting engineering standards, performing code reviews, and ensuring their work integrates seamlessly and meets our high bar for quality.

TRANSLATE REQUIREMENTS INTO A TECHNICAL ROADMAP 

In this role, you work closely with our Data Science team and other business stakeholders to understand their needs and translate them into a clear, actionable technical roadmap.

SHAPE AND EVOLVE CORE SYSTEMS

You own and drive the complete technical lifecycle of our core data platform, ensuring that pipelines, processing frameworks, and platform services continuously mature in scalability, resilience, and enterprise readiness as demand grows.

PROVIDE STRATEGIC TECHNICAL GUIDANCE

You act as a senior technical counterpart to product management, data science, and business leaders, shaping architectural decisions and ensuring transparency on platform capabilities, constraints, and trade-offs.

In addition, you help steer the delivery of strategic initiatives by aligning stakeholders, clarifying scope, and ensuring execution remains consistent with technical direction.

A minimum of 6 years of experience in a data engineering role.

Fluency in both German and English.

Strong Partnership and Collaboration Skills: You have a proven ability to work effectively with technical and non-technical stakeholders. Given the international nature of this role, strong experience collaborating directly with data analysts and data scientists across different regions and sports is essential for success.

Expert-Level Technical Skills: Deep knowledge of modern data modeling, ETL/ELT development, and data warehousing principles.

Proven GCP Expertise: Significant hands-on experience building and deploying data platforms on Google Cloud Platform (GCP). Deep proficiency with BigQuery is essential.

A Proactive, Responsible and Positive Mindset: A track record of taking ownership of complex technical projects and seeing them through to successful completion. You are a pragmatic problem-solver who anticipates challenges and takes initiative, with a “can-do” attitude and culture that we live for at Red Bull IT.

Project Experience: Proven track record of large-scale project involvement and solutions across complex business domains.

Partners and vendors: Experience in dealing with sourcing partners, vendors and suppliers, and involvement in multi-stream, complex activities across several external partner teams, tracking success and progress via engineering metrics such as Velocity, Burndown, Capacity Mgmt, Planning and Engineering Forecasting.

Governance and Policies: Experience in data science and data engineering governance, policies and oversight.

Bonus Points for: Experience with data transformation tools, especially dbt, workflow management tools like Dagster, Infrastructure-as-Code tools like Terraform.

Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,535 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.