Senior Data Engineer — Spark, Databricks & Cloud ETL

Capgemini Polska; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Life insurance

NAIS benefits

Training tracks

Language courses

Hybrid work model

Home office kit

Community hub

Job summary

Capgemini Polska is looking for a Data Engineer to join a team building a global marketing data platform for a leading FMCG company. You will help design scalable data solutions and data pipelines to enable advanced analytics and data-driven marketing decisions.

Requirements include 4+ years of data engineering experience with Python, Spark, Databricks, SQL and PySpark; strong English (B2/C1); and a collaborative, international mindset. Hybrid work in Warsaw is offered.

Qualifications

• 4+ years of experience in Data Engineering
• Strong knowledge of SQL and practical experience using PySpark to process and transform large-scale datasets
• Proven experience in designing, building, and maintaining data pipelines, ETL/ELT workflows, and data integration solutions
• Experience working with cloud-based data platforms; familiarity with Google Cloud Platform (GCP) is a plus
• Strong analytical and problem-solving skills, with the ability to work effectively in a collaborative, international environment
• Professional English proficiency (B2/C1 level)

Responsibilities

• Design, develop, and maintain scalable data processing solutions in cloud environments.
• Build, optimize, and support ETL pipelines, as well as data integration and transformation processes to ensure high-quality, reliable data for analytics and reporting platforms.
• Collaborate with business stakeholders to analyze requirements, troubleshoot production issues, support end users, and deliver new functionalities using technologies such as Databricks, Spark, and Python.

Skills

Data engineering

Python

Spark

Databricks

SQL

PySpark

ETL/ELT

Cloud platforms

GCP

English communication

Job description

Capgemini Polska is looking for a Data Engineer to join a team building a global marketing data platform for a leading FMCG company. You will help design scalable data solutions and data pipelines to enable advanced analytics and data-driven marketing decisions.

Requirements include 4+ years of data engineering experience with Python, Spark, Databricks, SQL and PySpark; strong English (B2/C1); and a collaborative, international mindset. Hybrid work in Warsaw is offered.