Senior Databricks Data Engineer — Scalable Pipelines + AI

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

Benefits offered by this job

Medicover medical care

Private life insurance

Sports card

Capgemini Helpline for wellbeing

70 training tracks on NEXT platform

Top Employer Poland 2024

Job summary

Capgemini Poland in Warsaw seeks a data engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, collaborating with solution architects to enforce best practices in data engineering.

The role requires hands-on Databricks experience, Python for automation, and cloud platform exposure (AWS/Azure/GCP), plus strong communication in English.

Qualifications

• Strong data engineering experience with Databricks (min 1 year).
• Proficient in Python for automation and data transformation.
• Experience with at least one cloud platform (AWS/Azure/GCP).
• Excellent 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 uphold best practices in data engineering.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms (AWS/Azure/GCP)

English

Tools

Terraform

Bicep

Kafka

Spark Streaming

PySpark

Snowflake

Synapse

Job description

Capgemini Poland in Warsaw seeks a data engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, collaborating with solution architects to enforce best practices in data engineering.

The role requires hands-on Databricks experience, Python for automation, and cloud platform exposure (AWS/Azure/GCP), plus strong communication in English.