Data Engineer
HybridSofia, Sofia-Capital, Bulgaria
Job Summary
Build and maintain reliable, well-structured data pipelines using SQL, PostgreSQL, and BI technologies to assemble large, complex data sets meeting functional and non-functional business requirements. Optimize extraction, transformation, and loading processes from diverse sources while contributing to internal process improvements through automation and scalability enhancements. Support the development of analytics tools that provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics for analysts and data scientists. Work with internal stakeholders and B2B clients to deliver ad-hoc data solutions and ensure high-quality data delivery. Join a well-funded international sports betting and iGaming company focused on engineering excellence and innovation.
Required Qualifications
- Good understanding of relational database logic. I.e. differences between CAP and ACID, types of relations between tables, isolation levels etc.
- Hands-on experience with PostgreSQL.
- Proficiency in query authoring (SQL).
- Working knowledge of procedures and functions.
- Experience with performance and tuning of SQL queries.
- Good understanding of de-normalized/normalized data.
- Solid understanding of ETL logic.
- Good understanding of DWH principles and DWH performance optimization.
Desired Qualifications
- Experience with Python
- Experience with big data tools: Spark, Airflow, Flyway etc.
- Experience with NoSQL databases.
- Experience with data tools: DBT.
- Basic experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc.
- Basic experience with GitLab CI/CD pipelines
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