Senior Lakehouse & Streaming Data Platform Engineer

COMMIT Offshore; Kraków; On-site; PLN 220,000 - 320,000; Full time

Job summary

COMMIT Offshore in Kraków is seeking a Senior Data Platform Engineer to own the data lakehouse powering a gaming and financial platform serving 12M+ active users. You will design, implement, and operate data pipelines and governance across ingestion, storage, and analytics.

This hands-on role requires expertise with Iceberg/Delta, Snowflake, Databricks, Kafka, and batch/streaming data processing. You will optimize cost, enforce data quality and GDPR-compliant controls, and collaborate with

Qualifications

• Experience designing and operating cloud data lakehouses at scale.
• Hands-on knowledge of Iceberg, Delta Lake, or Hudi.
• Production experience with Snowflake, Databricks, or BigQuery.
• Experience with Kafka, CDC, and streaming data pipelines.
• Strong SQL and data modeling skills.
• Experience optimizing TB+ data processing and governance.
• Familiarity with AWS S3 or Google Cloud Storage.
• Working knowledge of Python and orchestrators like Airflow or Dagster.

Responsibilities

• Design and manage the data lakehouse architecture and governance.
• Build and maintain data pipelines with streaming/batch processing.
• Optimize storage, performance, and cloud costs across platforms.
• Ensure data accuracy, monitoring, and drift detection.
• Enforce data retention, security, and GDPR compliance.
• Collaborate with analytics, finance, and regulatory reporting teams.

Skills

Cloud data lakehouse

Iceberg

Delta Lake

Hudi

Snowflake

Databricks

BigQuery

Kafka

CDC

SQL

Data modeling

TB-scale processing

Python

Airflow

Dagster

AWS S3

GCS storage

Tools

Snowflake

Databricks

BigQuery

Kafka

Airflow

Dagster

Iceberg

Delta Lake

Hudi

AWS S3

GCS Storage

Job description

COMMIT Offshore in Kraków is seeking a Senior Data Platform Engineer to own the data lakehouse powering a gaming and financial platform serving 12M+ active users. You will design, implement, and operate data pipelines and governance across ingestion, storage, and analytics.

This hands-on role requires expertise with Iceberg/Delta, Snowflake, Databricks, Kafka, and batch/streaming data processing. You will optimize cost, enforce data quality and GDPR-compliant controls, and collaborate with