We are developing complex systems and applications in the igaming industry. These are high-quality, modern international products for all platforms. We are currently strengthening our data domain and looking for a Data Engineer to help build a stable and scalable data platform for further product growth.
This is a role with high autonomy and real impact: you will not just be maintaining pipelines, but participating in architectural decisions and shaping the future of the data platform.
Key Responsibilities:
- Designing and developing the analytical data warehouse and data models for product growth
- Implementing and developing data modeling practices (dbt)
- Supporting and optimizing existing ETL/ELT pipelines (Airflow)
- Improving the stability and performance of data processing
- Integrating data from various sources (API, Google Sheets, Airtable, etc.)
- Participating in the selection and implementation of new technologies and approaches
What we're looking for:
- 3+ years of experience as a Data Engineer
- Practical experience in designing DWH / data models
- Production experience with dbt
- Proficient in Airflow and understanding of pipeline orchestration
- Strong SQL skills (modeling, optimization, data marts)
- Python for building and maintaining data pipelines
- Experience working with Git in a team
Will be a plus:
- Experience with data streaming (Kafka, NiFi, and similar)
- Setting up monitoring and alerting for data processes
- Understanding of data quality, testing, and data quality control
What we offer:
- Fully remote work, flexible start of the day
- Product team and the opportunity to influence the architecture
- Support for professional development: we cover up to 70% of the cost of relevant courses and conferences, and also purchase professional literature
