Data Engineer – Cloud ETL & Databricks (Marketing Data)

Capgemini; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Capgemini Poland is seeking a Data Engineer to join a global marketing data platform project for a leading FMCG client. You will design and implement scalable data solutions in cloud environments, enabling advanced analytics and data-driven marketing decisions.

You will work with Databricks, Spark and Python to build and optimize ETL pipelines, collaborate with stakeholders, and deliver high-quality data products in an international team.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, Spark, and Databricks.
• Solid knowledge of SQL and PySpark for large-scale data processing.

Responsibilities

• Design, develop, and maintain scalable data processing solutions in cloud environments.
• Build, optimize, and support ETL pipelines and data integration for analytics and reporting.
• Collaborate with business stakeholders to analyze requirements and deliver new functionalities using Databricks, Spark, and Python.

Skills

Python

Spark

Databricks

SQL

PySpark

Data pipelines

Tools

Databricks

Python

Spark

SQL

PySpark

ETL pipelines

Job description

Capgemini Poland is seeking a Data Engineer to join a global marketing data platform project for a leading FMCG client. You will design and implement scalable data solutions in cloud environments, enabling advanced analytics and data-driven marketing decisions.

You will work with Databricks, Spark and Python to build and optimize ETL pipelines, collaborate with stakeholders, and deliver high-quality data products in an international team.