Data Warehouse Engineer

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.