Senior Databricks Data Engineer - Cloud Data Pipelines

Capgemini; Poznań; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Healthcare (Medicover)

Private life insurance

Sports card

Capgemini Helpline for wellbeing

Free training on NEXT platform

Job summary

Capgemini Poland is seeking a data engineer to design and implement Databricks-based data processing solutions for large-scale datasets. You will build data pipelines in Python, collaborate with architects, and ensure data security and scalability in cloud environments.

The role emphasizes hands-on Databricks experience, Python automation, and strong English communication within a global team in Poznań.

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

English

Tools

Terraform

Bicep

Kafka

Spark Streaming

Snowflake

Synapse

PySpark

Job description

Capgemini Poland is seeking a data engineer to design and implement Databricks-based data processing solutions for large-scale datasets. You will build data pipelines in Python, collaborate with architects, and ensure data security and scalability in cloud environments.

The role emphasizes hands-on Databricks experience, Python automation, and strong English communication within a global team in Poznań.