Data Engineer
Zeeks is a technology company that develops infrastructure, analytics, and service products for the international iGaming market. We operate across B2B and B2B2C models, where process accuracy, data quality, and scalable technology solutions are critical.
We are currently looking for a Data Engineer to join our Data Analytics team. The company is scaling rapidly, data volumes are growing, and we need someone ready to build the data infrastructure from the ground up—from architecture design to data collection, processing, and delivery pipelines.
What you will be doing:
- Build a centralized Data Lake / Data Warehouse as a single source of truth.
- Design and implement ETL/ELT pipelines for all core data sources.
- Integrate and unify data from 11+ sources, including MySQL, ClickHouse, BigQuery, external APIs, and others.
- Build data marts tailored to product teams and analytics needs.
- Maintain reliable integrations with GrowthBook, Power BI, and other BI/experimentation tools.
- Set up data quality monitoring and alerting processes.
- Optimize large-scale data workloads in BigQuery and ClickHouse.
What is important for us:
- 3+ years of experience as a Data Engineer or in a closely related role.
- Strong hands-on experience designing and maintaining production ETL/ELT pipelines.
- Practical knowledge of ClickHouse and BigQuery, including data modeling, query optimization, and partitioning.
- Solid Python skills for data transformation and automation.
- Experience with Apache Airflow or similar orchestration tools.
- Understanding of CDC (Change Data Capture), event streaming, and Kafka.
- Understanding of Data Warehouse principles: data layers, star/snowflake schemas, and data lineage.
- Understanding of transactional analytics at the user level (transaction states, user-level analytics).
- Experience working with GitLab.
- Ability to establish robust data quality and observability processes.
- English B1+ for working with technical documentation.
Nice to have:
- Experience with Google Analytics / Google Search Console or other marketing data sources.
- Experience in an analytics team with an understanding of analysts’ needs and business requirements for aggregations.
- Experience preparing data for BI systems.
What we offer:
- The opportunity to build the data infrastructure from scratch and directly influence architectural decisions.
- Compensation fixed in foreign currency, with the possibility of review based on performance/results.
- Possibility of military service reservation/deferment subject to valid military-registration documents.
- 18 working days of paid leave, plus 5 additional days off, Birthday Off, and 5 paid sick days without medical certificates.
- An annual budget for learning and professional development.
- An annual wellbeing deposit, reimbursing expenses such as medical services, sports activities, veterinary care, foreign-language learning, non-job-related education and hobbies, and childcare services (nanny/kindergarten).
