Senior Databricks Data Engineer — Cloud Data & AI

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

Benefits offered by this job

Well-being program

Training tracks and certifications

Top Employer Poland 2024 recognition

Access to cutting-edge technology

Job summary

Capgemini Poland in Poznań is seeking a data engineering professional to design and implement Databricks-based data processing solutions and build scalable data pipelines using Python and cloud-native tools.

You will collaborate with architects to uphold best practices in data engineering and ensure data security and scalability across cloud environments. The role requires strong English communication and hands-on Databricks experience.

Qualifications

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

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 language

Tools

Terraform

Bicep

Kafka

Spark Streaming

PySpark

Data Lake

Snowflake

Synapse

Job description

Capgemini Poland in Poznań is seeking a data engineering professional to design and implement Databricks-based data processing solutions and build scalable data pipelines using Python and cloud-native tools.

You will collaborate with architects to uphold best practices in data engineering and ensure data security and scalability across cloud environments. The role requires strong English communication and hands-on Databricks experience.