🛠 Tech Stack

💼 About This Role

You'll design and implement scalable data platforms using a best-of-breed approach across hyperscalers. You'll build robust ETL/ELT pipelines for diverse analytics and BI use cases. You'll collaborate in a dedicated delivery team with no bodyleasing.

🎯 What You'll Do

• Design and architect scalable data warehouse and lakehouse solutions
• Develop robust ETL/ELT processes and data pipelines
• Build data models and transformations using dbt or Dataform
• Mentor junior and mid-level engineers in data governance and best practices

📋 Requirements

• Several years of experience in data engineering
• Proficiency in SQL and DWH/DLH architectures
• Hands-on experience with modern data platforms like BigQuery, Snowflake, or Microsoft Fabric
• Experience with data modeling and transformation tools such as dbt or Dataform

✨ Nice to Have

• Knowledge of cloud ecosystems (AWS, GCP, or Azure)
• Scripting skills in Python
• Certifications in Snowflake, GCP, or Azure Data Engineer

🎁 Benefits & Perks

• 🏖️ 30 days vacation
• 🌍 Workation up to 30 days per year
• 💻 Choose your hardware (Mac, Windows, Linux)
• 📚 Training, labs, certifications in AWS, Azure, Google & SAP
• 🏥 Spendit Card, Wellpass, or Deutschlandticket plus childcare allowance and bike leasing

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application via portal· 5 min
2. 2Recruiter call· 30 min
3. 3Technical interview with team· 60 min