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.

• 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, Big Query, 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.

• 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 Click House, Star Rocks, or similar technologies.
• Familiarity with data integration, ETL/ELT frameworks, and large‑scale data processing.
• Strong communication skills in English.

• 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.