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Senior Data Engineer - Data Foundation & Analytics (m/f/d)

Frankenthal 2026-09-28 07:42:09

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

🏢
Employer
CUJU
📍
Location / Model
Frankenthal
💼
Employment
Full-Time
🛡️
Recruitment Type
Direct to HR Pipeline
🏭
Industry
Remote
👥
Company Size
🌐
Headquarters
Frankenthal
✈️
Visa & Sponsorship
Global Talent Consideration
✈️
Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from CUJU's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

Location: Remote (Germany-based)

Start: ASAP | Languages: Fluent English

Note that we cannot provide any visa support.

Make the Unseen seen! Our goal is to reinvent scouting in football and build the #1 global scouting platform for identifying and developing talent. With the help of modern AI technology, CUJU enables every young football talent to be seen – regardless of origin, gender, or social background. We create fair opportunities and transparent pathways into professional sports. Our platform connects athletes, clubs, and organizations worldwide to rethink scouting – data-driven, objective, and mobile. Together, we are shaping the next generation of global talent scouting.

🌟 Your Mission: As CUJU’s first Senior Data Engineer, you will build the data foundation of the company.

Your mission is to transform fragmented data across multiple systems into a reliable, scalable, and usable data layer that enables:

• Clear business metrics (e.g. MAU, retention)

• Product decision-making

• Future player performance insights

You will play a critical role in shaping how data is structured, connected, and used across CUJU.

Tasks

🚀What You’ll Work On:

  • Define and implement core data models (users, events, performance)
  • Design and operate robust, production-grade data pipelines
  • Establish a single source of truth for key business and product metrics
  • Structure data for business and product analysis (retention, funnels, activation)
  • Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.).
  • Make pragmatic decisions on how data is stored, processed, and accessed
  • Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value
  • Ensure the architecture scales with product, AI, and data growth without overengineering
  • Optimize pipelines for scalability, cost efficiency, and performance.
  • Write clean, maintainable, and well-structured Python code following software engineering best practices.
  • Work closely with Product, Engineering, AI, and Business teams

Requirements

🧠 What You Bring:

  • 5-7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar).
  • Strong programming skills in Python (clean architecture, testing, modular design not just scripts).
  • Solid SQL skills and experience designing analytical schemas.
  • Hands-on experience building production data pipelines and services.
  • Strong experience with AWS and cloud-native data architectures.
  • Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)
  • Comfortable working with imperfect, real-world data and evolving requirements.
  • Experience working in fast-paced or early-stage environments
  • You understand that data work is software engineering.
  • Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams.
  • Passionate about sports, performance analytics, and leveraging data to make a real-world impact.

Benefits

  • Be a founding member of a strategic new Data teamPurpose & impact
  • Help build something that transforms the world of sports
  • Shape CUJU’s future and influence our growth, product strategy, and innovation
  • Sports meets technology: Work with international clubs, partners, athletes, and influencers
  • Creative freedom & agility: Take ownership, shape processes, and benefit from fast decisionsLearn & grow
  • Benefit from individual development opportunities and our Masterplan learning platform
  • Stay active with Wellpass and access a broad network of fitness, sports, and wellness partnersBenefits that support you
  • 30 days’ vacation, competitive compensation, Corporate Benefits, and more

🎯 Your Impact:

  • Build the technical foundation of CUJU’s data platform.
  • Enable scalable, reliable, and production-ready analytics across the company.
  • Shape how data is ingested, processed, and used in products from day one.
  • Directly influence player insights, product features, and long-term data strategy.

⚽️ Is this your next big play?

Are you passionate about sports, communicative, and eager to actively shape the future of sports? Then we look forward to your application!

Please send us your CV directly via the application link for JOIN.

Please acknowledge that we can only accept applications online through our recruiting software due to GDPR. Thank you!

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Frequently Asked Questions

How do I apply for the Senior Data Engineer - Data Foundation & Analytics (m/f/d) position at CUJU? ▼

Click the “Apply for this Position” button on this page to submit your application directly to CUJU without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship? ▼

This position is located in Frankenthal with potential relocation and sponsorship assistance depending on candidate qualifications.

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