Data Engineer

🧠 About UbydTech
At UbydTech, we believe in unified brilliance to power the next generation with smart technology solutions. Based in Germany, we specialize in software development, AI, and data engineering — helping businesses thrive in a fast-evolving digital world.

🚀 What You’ll Do
As a Data Engineer, you will play a key role in designing, building, and optimizing data systems that serve as the backbone of our AI and analytics-driven products. Your responsibilities will include: Designing and implementing robust ETL pipelines and data architectures Building scalable data platforms and real-time streaming systems Collaborating with data scientists, developers, and product teams to deliver intelligent solutions Ensuring data quality, security, and governance Optimizing data workflows and improving system performance

🔧 What We’re Looking For

• B.Sc. in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field
• 3+ years of experience in data engineering or a related role Proficiency in Python, SQL, and data pipeline tools (Airflow, dbt, etc.)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with big data tools (Spark, Kafka, Hadoop)
• Strong problem-solving mindset and a passion for clean, scalable code
• Experience with data warehousing (Snowflake, BigQuery, or Redshift) is a plus 💡
• Understanding of REST APIs, web application architecture, and backend development principles
• Familiarity with Git and collaborative software development workflows
• Strong problem-solving mindset and a passion for writing clean, scalable, and maintainable code
• Knowledge of Docker, cloud platforms, CI/CD, authentication, or web security is a plus 💡
• Excellent communication skills in English, German is a plus
• Very good human being and always super motivated to learn

Why Join UbydTech

• Work on cutting-edge AI and data-driven projects
• Flexible work environment with remote first culture
• Collaborative, innovation-driven culture
• Opportunities for career growth and continuous learning
• Flexible working hours (38 hours/week)
• Competitive compensation and benefits package

📬 How to Apply
Send your CV, Salary expectation and a brief note about why you're a great fit to people@ubydtech.com with the subject: “Data Engineer Application – [Your Name]”