• Analyze and organize raw data from millions of active users
• Build, maintain and operate data systems and pipelines on AWS
• Evaluate business needs and objectives, map them to requirements
• Strategically align data architecture with company needs and goals
• Detect, investigate and interpret data trends and patterns
• Conduct complex data analysis and report on results

Requirements

Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)
Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture
Strong Software Engineering skills and expertise with data mining and analytics
Knowledge of programming languages (e.g. Scala, Python, Java)
Experience with Apache Spark and Hadoop is highly desirable
Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage
Hands-on experience with SQL database design
Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
Great numerical, analytical and statistical skills
A degree in Computer and/or Data Science would be an advantage
Business fluent in English, preferably German as well

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Hard Skills

Data Engineering
Data architecture
Data Mesh architecture
Software Engineering
Data mining
Analytics
Scala
Python
Java
SQL database design

Soft Skills

Analytical skills
Numerical skills
Statistical skills
Communication skills

Certifications & Qualifications

Degree in Computer Science
Degree in Data Science

Senior Data Engineer

Data Engineer

Data Engineer