Senior Databricks Data Engineer: Cloud Data Pipelines Lead

Capgemini; Poznań; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid work model

Job summary

Capgemini is seeking a data engineer in Poznań to design and implement scalable data processing solutions using Databricks and Python. You will build pipelines, collaborate with solution architects, and ensure data security and scalability in cloud environments.

The role emphasizes strong English communication, hands-on Databricks experience, and cloud platform exposure (AWS/Azure/GCP). A hybrid work model and access to Capgemini’s training resources are offered.

Qualifications

• At least 1 year hands-on Databricks experience.
• Strong Python experience for automation and data transformation.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Excellent communication and 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)

Communication (English)

Tools

PySpark

Job description

Capgemini is seeking a data engineer in Poznań to design and implement scalable data processing solutions using Databricks and Python. You will build pipelines, collaborate with solution architects, and ensure data security and scalability in cloud environments.

The role emphasizes strong English communication, hands-on Databricks experience, and cloud platform exposure (AWS/Azure/GCP). A hybrid work model and access to Capgemini’s training resources are offered.