Data Warehouse Engineer (f/m/d)

We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.

If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.

Responsibilities:

• Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business
• Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization
• Develop and optimize ETL/ELT pipelines for batch and near real-time data processing
• Support analytical and machine learning workflows by providing reliable and well-structured datasets
• Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others)
• Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards
• Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability
• Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem
• Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization
  
  
  

Requirements

• 2+ years of professional experience in Data Engineering, Data Warehousing, or a related field
• Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline
• Strong expertise in SQL and relational database concepts, including data modeling and query optimization
• Experience designing and maintaining data warehouse architectures
• Hands-on experience with columnar databases and performance optimization techniques
• Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow
• Solid programming skills in Python or Java, with a preference for Python
• Good understanding of Linux environments and scripting (Bash)
• Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies
• Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing
• Strong communication skills in English
  
  
  

What Makes You Successful

• You are a proactive problem solver who enjoys tackling complex technical challenges
• You have a strong attention to detail and a passion for building reliable, high-quality data solutions
• You take ownership of your work and can operate independently when needed
• You are collaborative, curious, and enjoy sharing knowledge with others
• You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies