Senior Databricks Data Engineer - Cloud Data Pipelines

Capgemini; Województwo wielkopolskie; On-site; PLN 90,000 - 130,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Capgemini Helpline

Job summary

Capgemini is seeking a data engineer to join Insights & Data in Poland. You will design and implement data processing solutions using Databricks for large-scale datasets, build robust data pipelines with Python and cloud-native tools, and work closely with solution architects to uphold best practices in data engineering.

You will ensure data consistency, security and scalability in cloud environments, collaborate with teams across Capgemini, and contribute to AI and ML initiatives within our AI

Qualifications

• Experience in data engineering with Databricks (≥1 year).
• Proficient in Python for automation and data transformation.
• Experience with at least one major cloud platform (AWS/Azure/GCP).
• Good communication and English language skills.

Responsibilities

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

Skills

Databricks

Python

Cloud platforms (AWS/Azure/GCP)

English communication

Tools

PySpark

Terraform

Kafka

Snowflake

Synapse

Job description

Capgemini is seeking a data engineer to join Insights & Data in Poland. You will design and implement data processing solutions using Databricks for large-scale datasets, build robust data pipelines with Python and cloud-native tools, and work closely with solution architects to uphold best practices in data engineering.

You will ensure data consistency, security and scalability in cloud environments, collaborate with teams across Capgemini, and contribute to AI and ML initiatives within our AI