Senior Sports Data Engineer

Reposted 16 Hours Ago
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Elsbethen, Salzburg-Umgebung, Salzburg, AUT
In-Office
30K-30K Annually
Senior level
Food
The Role
Own and evolve the Sports Data Platform architecture, design scalable data systems, guide external partners, translate stakeholder needs into a technical roadmap, and drive platform delivery, governance, and engineering quality to support data science and analytics teams.
Summary Generated by Built In
Company Description

At the heart of Red Bull's global sports universe is the Sports Data Platform (SDP), the technical foundation that turns data into a competitive advantage. We are seeking a Senior Data Engineer to play a central role in building and shaping this platform. This is a unique opportunity to own and evolve a critical data system that serves Red Bull's sports and athletes worldwide.

 

As the lead technical expert for the platform, your role is to be both the architect and a key builder. You are responsible for shaping the roadmap for our next-generation data systems and overseeing the code and quality for critical enhancements. Success in this position means delivering high-quality, scalable technical solutions that empower our data science and analytics stakeholders, all while working in close partnership with teams across the business.

Job Description

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.

Qualifications

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

Fluent English skills, preferably fluent German skills

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 like Terraform.

Additional Information

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.

Skills Required

  • Minimum 6 years of experience in a data engineering role
  • Fluent English
  • Fluent German
  • Strong partnership and collaboration skills working with technical and non-technical stakeholders
  • Expert-level knowledge of data modeling, ETL/ELT development, and data warehousing principles
  • Proven hands-on experience building and deploying data platforms on Google Cloud Platform (GCP)
  • Deep proficiency with BigQuery
  • Track record of ownership and delivery of complex technical projects
  • Large-scale project experience across complex business domains
  • Experience working with external partners, vendors, and suppliers and tracking engineering metrics (Velocity, Burndown, Capacity Management)
  • Experience in data science and data engineering governance, policies, and oversight
  • Experience with data transformation tools (dbt)
  • Experience with workflow management tools (Dagster)
  • Experience with Infrastructure as Code (Terraform)

Red Bull Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Bull and has not been reviewed or approved by Red Bull.

  • Healthcare Strength Health coverage is characterized by comprehensive medical, dental, and vision plans alongside robust mental health access, including up to 25 free coaching/therapy sessions and digital physical therapy. Wellness initiatives such as gym subsidies, on-site fitness classes, and Fit For Flight further enhance overall healthcare value.
  • Parental & Family Support Family supports include paid family leave, incentives for healthy pregnancies, coverage for doulas/midwives, free breast milk shipment, and caregiving resources like subsidized back-up care. Adoption and surrogacy reimbursement up to $25,000 and parenting support tools broaden accessibility across family stages.
  • Leave & Time Off Breadth Paid time off is positioned as generous, typically ranging from 20–30 days annually, with Red Bull North America noted at 36 days. A paid holiday schedule complements vacation and leave options.

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The Company
HQ: Fuschl am See
26,878 Employees
Year Founded: 1987

What We Do

Red Bull Gives Wiiings to People and Ideas. This has driven us – and all we do – since 1987. Today, Red Bull operates in over 170 countries, selling more than 12 billion cans annually and growing! Above all, our people remain the essential ingredient in bringing the Red Bull brand to life. Check out our open roles to become part of the world of Red Bull. Most jobs take energy, ours give it. Check out our open roles to become part of the world of Red Bull – jobs.redbull.com

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