Senior Data Engineer

AI overview

Take full ownership of building real-time data infrastructure and manage the complete data lifecycle while working with cutting-edge technologies in a small team.

Digitanity is a new generation, dedicated IT company that partners with clients from all over the world on some of the most thrilling and contemporary technology long-term products.

Digitanity dedicated teams are an authentic augmentation to our customers’ team in the Head headquarters. You can meet us in Scottsdale, Amsterdam, Padua, Sofia, and Belgrade.

 

One of our clients is Gaming Analytics Platform.

 

About the Role

Greenfield opportunity building real-time data infrastructure. You'll own the full data lifecycle, from CDC ingestion through staging to production analytics.

 

Responsibilities:

  • Build CDC pipelines and real-time streaming (Kafka/Flink)
  • Design and maintain data models (raw to staging to core)
  • Implement observability, data transformations and quality checks
  • Own schema design for multi-tenant analytics
  • Tune query performance (Trino) and optimize storage (Iceberg compaction, indexing)
  • Support BI and analytics workloads
  • Contribute to infrastructure, CI/CD
  • Assist with infrastructure monitoring and observabilit

 

Required:

  • 5+ years data engineering
  • CDC and streaming (Kafka/Flink/Debezium)
  • Python
    Strong SQL and data modeling
  • dbt / SQLMesh
  • Apache Iceberg

 

Nice to have:

  • Trino / Presto / Pinot / Doris experience
  • Gaming/payments domain
  • AWS/GCP infrastructure basics

 

What we offer:

  • Full ownership, small team
  • Modern stack (no legacy)
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