As a Data Engineer, you will design, build, and maintain scalable data pipelines and architectures that power our analytical and operational systems.

You’ll be part of a modern data ecosystem leveraging AWS, Snowflake, Spark, Airflow, and Kafka, supporting mission-critical reporting and predictive analytics across the business.

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming large-scale data from multiple sources (betting, casino, player, finance, CRM, and external feeds).
• Implement data models and schemas (Bronze/Silver/Gold layers) in Snowflake / Redshift / Postgres, ensuring data consistency and governance.
• Work on real-time streaming and event-driven architecture using Kafka, Solace, or similar tools.
• Optimise SQL and Python-based data transformations for performance and scalability.
• Develop data validation, monitoring, and alerting frameworks.
• Collaborate with BI developers to deliver Power BI and analytical datasets.
• Partner with stakeholders across Trading, Finance, Compliance, and Risk to deliver high-impact data solutions.
• Contribute to data quality standards, documentation, and CI/CD automation of pipelines (GitHub).

Essential

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong proficiency in SQL and experience with relational databases (PostgreSQL, Snowflake, Redshift, BigQuery, etc.).
• Proven experience building ETL pipelines using Python (Pandas, PySpark, Airflow, or dbt).
• Solid understanding of data warehousing principles and dimensional modelling.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving skills and ability to work in fast-paced, data-intensive environments.

Desirable

• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Knowledge of sports betting or iGaming data models (bets, markets, transactions, GGR, etc.).
• Exposure to data governance, data observability, or catalog tools
• Experience with CI/CD for data (GitHub Actions, Terraform).
• Familiarity with Power BI or other BI tools.

Our Offer

• Competitive salary
• B2B contract
• Hybrid work
• International projects
• Career growth opportunities
• Long-term working possibilities
• Friendly working atmosphere
• Flat structure
• No dress code
• High-end working space
• Free coffee, beverages, snacks, and fruit.

If you’re interested in joining our team, please submit your CV in English using the ‘Apply’ button.