Data Engineer: Spark, Databricks & Cloud Data Platform

FinOps Weekly; Warszawa; Hybrid; PLN 130,000 - 210,000; Full time

Job summary

Samba TV is seeking a Data Engineer to strengthen its data platform team in Warsaw. The role focuses on building scalable data product architecture and modernizing data frameworks with Databricks and BigQuery.

You will work across ingestion, analytics, and reporting to enable data-driven decisions. You should have hands-on experience with Spark, Python, SQL, and cloud services, along with a strong emphasis on data governance and data quality practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 2+ years of experience in data engineering or a related role.
• Proven experience with Databricks, Apache Spark and BigQuery or Snowflake.

Responsibilities

• Build scalable data product architecture to support internal and external data consumers.
• Modernize data frameworks and integrations with Databricks and BigQuery.
• Develop and optimize data transformations using Apache Spark (PySpark/Scala).
• Implement data governance, access control, and auditing using Databricks Unity Catalog.
• Build automated data quality validation suites and monitoring for data reliability.

Skills

Databricks

Apache Spark

BigQuery

Snowflake

Airflow

Kubernetes

Python

SQL

Data governance

Unity Catalog

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks Unity Catalog

REST APIs

Job description

Samba TV is seeking a Data Engineer to strengthen its data platform team in Warsaw. The role focuses on building scalable data product architecture and modernizing data frameworks with Databricks and BigQuery.

You will work across ingestion, analytics, and reporting to enable data-driven decisions. You should have hands-on experience with Spark, Python, SQL, and cloud services, along with a strong emphasis on data governance and data quality practices.