Data Warehouse Engineer (f/m/d)
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About the Role
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.
Key Skills for This Role
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Overview
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
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