Senior AI Data Engineer — Cloud Data Platforms & GenAI

Capgemini; Warszawa; Hybrid; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care

Access to training tracks

Hybrid working model

Job summary

Capgemini is looking for a Senior AI Data Engineer in Warsaw to design and optimize scalable AI-ready data platforms. You will work closely with Data Scientists and AI Engineers to deliver secure, high-performance data solutions.

The role involves developing ETL pipelines, supporting AI workflows, and building cloud-native architectures. Enjoy the benefits of a hybrid working model, financial bonuses, and extensive training opportunities while being part of a diverse and inclusive workplace.

Qualifications

• 5+ years of experience in Data Engineering or AI Data Platform development.
• Hands-on experience with Apache Spark, Kafka, and Hadoop.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Design and develop scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize cloud-native data platforms and lakehouse architectures.
• Support AI and machine learning workflows with high-quality data solutions.

Skills

Python

SQL

PySpark

Apache Spark

Kafka

AWS

Agile environments

Tools

Databricks

Snowflake

BigQuery

Redshift

Docker

Kubernetes

Airflow

Job description

Capgemini is looking for a Senior AI Data Engineer in Warsaw to design and optimize scalable AI-ready data platforms. You will work closely with Data Scientists and AI Engineers to deliver secure, high-performance data solutions.

The role involves developing ETL pipelines, supporting AI workflows, and building cloud-native architectures. Enjoy the benefits of a hybrid working model, financial bonuses, and extensive training opportunities while being part of a diverse and inclusive workplace.