Senior Data Engineer

Nasze wymagania:
5+ years of hands-on experience in Database Engineering, Database Administration or a similar role.
Strong experience with large-scale relational databases, particularly PostgreSQL and/or MySQL, handling high transaction volumes.
Experience working with high-scale document databases, particularly DocumentDB or similar technologies.
Strong understanding of indexing strategies, query optimization, execution plans and transaction isolation levels.
Practical experience with database partitioning and data retention/archival strategies.
Experience operating cloud databases, particularly AWS RDS/Aurora or GCP Cloud SQL.
Hands-on experience with real-time data streaming, CDC and Kafka, or high-volume ETL processes.
Experience building and maintaining CI/CD pipelines for databases and schema migrations.
Strong scripting/automation skills, preferably with Python.
Ability to troubleshoot complex performance and scalability issues in high-concurrency environments.
Strong English communication skills (C1); Polish is not required.
Experience in fintech, iGaming or another highly regulated, transaction-heavy environment is a nice-to-have.

O projekcie:
As a Senior Database Engineer, you will be responsible for designing, optimizing and scaling high-performance database infrastructure supporting millions of transactions and real-time data flows. You will work with transactional databases, document databases, Kafka-based streaming and analytical data lakes, with a strong focus on performance, reliability and data consistency. A key part of the role will be ensuring that financial and transactional data remains accurate under high concurrency and large-scale workloads. You will combine hands-on database engineering with automation, cloud infrastructure and close collaboration with the wider data and engineering teams.

Zakres obowiązków:
Design efficient database schemas and low-latency data access patterns for a microservices environment.
Analyze and optimize query performance, including indexing, execution plans and high-concurrency bottlenecks.
Design and implement table partitioning, data retention and archival strategies for large transactional and time-series datasets.
Move historical and less frequently accessed data to data lake solutions such as Snowflake and S3.
Design and operate real-time Change Data Capture (CDC) pipelines using Kafka and Debezium.
Monitor database health, performance and availability, including alerting and proactive identification of throughput or data consistency issues.
Design and maintain database backup, recovery, encryption and access-control mechanisms in cloud environments.
Build and maintain database CI/CD pipelines covering schema migrations, version control and automated deployments.
Automate database operations, ETL workflows and data-quality/anomaly detection processes using Python or similar scripting languages.
Work closely with engineering and data teams to improve the scalability and reliability of the overall platform.

Oferujemy:
Opportunity to join a new R&D organization in Kraków and help shape its technical foundations from the beginning.
Primarily employment based on an employment contract (UoP), with B2B cooperation also planned as an option later.
Initially fully remote work, followed by a hybrid model with 3-4 days per week from the Kraków office once the office is ready.
Opportunity to work with high-volume transactional and real-time data systems serving millions of active users.
International environment and collaboration with experienced technical teams and company leadership.
Competitive compensation and the equipment required to perform the role.
Opportunity to work on challenging problems around database scalability, data consistency, performance and real-time processing.