Senior Data Engineer (Kafka & Snowflake) — Flexible Schedule

Grid Dynamics; Województwo pomorskie; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Bleeding-edge projects

Competitive salary

Flexible schedule

Benefits package - medical insurance,

Professional development opportunities

Well-equipped office

Job summary

Grid Dynamics is building a brand-new regulatory reporting team for a global payments technology company. We are seeking a Senior Data Engineer to design streaming pipelines on Kafka and model regulatory reporting data in Snowflake, ensuring accuracy, auditable trails and reconciliation from day one.

You will shape the architecture, implement resilient data flows, and collaborate with client teams to set up processes and governance for streaming data, validation, and performance monitoring.

Qualifications

• Experience building production streaming and data pipelines.
• Strong knowledge of Kafka architecture including topics, partitions, consumer groups, offsets.
• Advanced SQL in Snowflake with window functions, complex joins and optimisations.
• Experience with Snowflake features: Streams & Tasks, Snowpipe, Time Travel.
• Ability to model data for regulatory reporting (facts, dimensions, SCD) and ensure reconciliation.

Responsibilities

• Design and build Kafka-based streaming pipelines with Kafka Streams and/or Kafka Connect.
• Implement robust error handling, retries, dead-letter queues, and schema evolution management.

Skills

Streaming pipelines

Kafka

SQL

Data modelling

English communication

Tools

Kafka Streams

Kafka Connect

Schema Registry

Snowpipe

Snowflake

Time Travel

Job description

Grid Dynamics is building a brand-new regulatory reporting team for a global payments technology company. We are seeking a Senior Data Engineer to design streaming pipelines on Kafka and model regulatory reporting data in Snowflake, ensuring accuracy, auditable trails and reconciliation from day one.

You will shape the architecture, implement resilient data flows, and collaborate with client teams to set up processes and governance for streaming data, validation, and performance monitoring.