Databricks Data Engineer - Python, Cloud Data Pipelines

Capgemini; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Sports card

Capgemini Helpline for wellbeing

NEXT platform training tracks

Job summary

Capgemini Polska is seeking a data engineer to join the Insights & Data team. You will design and implement data processing solutions using Databricks, build Python-based pipelines, and collaborate with solution architects to follow best practices in data engineering.

You will ensure data consistency, security and scalability in cloud environments, work with AWS, Azure or GCP, and contribute to AI initiatives with a focus on modern data platforms.

Qualifications

• Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise.
• Strong experience in Python for automation and data transformation.
• Experience working with at least one major cloud platform (AWS, Azure, or GCP).
• Strong communication skills and strong English language skills.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Work closely with solution architects to define and uphold best practices in data engineering.
• Ensure data consistency, security, and scalability within cloud-based environments.

Skills

Databricks

Python

Cloud platforms (AWS/Azure/GCP)

Data engineering

English language

Communication skills

Tools

Terraform

Bicep

Kafka

Spark Streaming

PySpark

Snowflake

Synapse

Job description

Capgemini Polska is seeking a data engineer to join the Insights & Data team. You will design and implement data processing solutions using Databricks, build Python-based pipelines, and collaborate with solution architects to follow best practices in data engineering.

You will ensure data consistency, security and scalability in cloud environments, work with AWS, Azure or GCP, and contribute to AI initiatives with a focus on modern data platforms.