Databricks Data Engineer – Cloud Pipelines & GenAI

Capgemini; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medicover health care

Private life insurance

Sports card

Capgemini Helpline for wellbeing

Job summary

Capgemini Polska is seeking a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, working closely with solution architects to uphold data engineering best practices.

The role emphasizes data security, consistency, and scalability in cloud environments, with strong English communication and collaboration across teams.

Qualifications

• Experience in data engineering and building data solutions.
• Proficiency in Python for automation and data transformation.
• Hands-on Databricks experience (at least 1 year).
• Strong English communication skills and ability to collaborate with global teams.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale datasets.
• Build and enhance data pipelines with Python and cloud-native tools.
• Collaborate with solution architects to ensure best practices in data engineering.
• Ensure data security, consistency, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

English communication

Tools

Terraform

Bicep

Kafka

Spark Streaming

PySpark

Snowflake

Synapse

Job description

Capgemini Polska is seeking a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, working closely with solution architects to uphold data engineering best practices.

The role emphasizes data security, consistency, and scalability in cloud environments, with strong English communication and collaboration across teams.