Data Engineer: Spark, Airflow & Cloud Pipelines

Samba TV; Warszawa; On-site; PLN 170,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Wellness offerings

Life and disability insurance

Retirement savings plan

Paid holidays and time off

Job summary

A leading media intelligence company is looking for a skilled Data Engineer to join their Data Technology team in Warsaw. The successful candidate will design, build, and maintain scalable data pipelines, utilizing technologies like Apache Spark and Databricks. With a strong background in Python and SQL, you will optimize data transformations for large datasets and collaborate with various teams to ensure data quality and governance. The role offers competitive compensation and benefits, reflecting the company's commitment to employee well-being.

Qualifications

• 2-4 years of professional experience in data engineering or a closely related role.
• Hands-on experience building and debugging data pipelines and automation scripts.
• Familiarity with modern table formats such as Delta Lake or Iceberg.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting both internal and external data consumers.
• Develop and optimize data transformations for large-scale datasets.
• Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets.

Skills

Python

SQL

Apache Airflow

Databricks

Apache Spark (PySpark)

Cloud infrastructure (AWS/GCP)

Debugging and problem-solving

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Tools

AWS

BigQuery

Snowflake

Kubernetes

Git

Job description

A leading media intelligence company is looking for a skilled Data Engineer to join their Data Technology team in Warsaw. The successful candidate will design, build, and maintain scalable data pipelines, utilizing technologies like Apache Spark and Databricks. With a strong background in Python and SQL, you will optimize data transformations for large datasets and collaborate with various teams to ensure data quality and governance. The role offers competitive compensation and benefits, reflecting the company's commitment to employee well-being.