Cloud Data Engineer: Build Scalable Pipelines & Data Solutions

Capgemini; Wrocław; On-site; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Company car

Annual bonus

Private medical care

Job summary

Capgemini Poland seeks a Data Engineer to design, build and optimally run data pipelines, while ensuring quality data across systems. You will collaborate with architects, analysts, and other engineering teams to deliver cloud-native data solutions for international projects.

Join a fast-growing Insights & Data team and work with Databricks, Airflow, and modern platforms in a dynamic, DevOps-driven environment. English communication is essential.

Qualifications

• Experience as a Data Engineer with strong practical skills in data processing.
• Proficiency in Python for data manipulation, automation and integration.
• Experience working with cloud environments (AWS, Azure or GCP).
• Experience working with large datasets and distributed data systems.
• Handson experience with relational and/or NoSQL databases.
• Clear and effective communication skills in English.

Responsibilities

• Design, build and maintain ETL/ELT data pipelines in cloud and distributed environments.
• Process, clean and transform large datasets across various platforms.
• Integrate data from multiple systems including databases, APIs and streaming sources.
• Ensure data quality, consistency and performance across workflows and environments.
• Work closely with Data Architects, analysts and product teams to implement data solutions.
• Participate in code reviews and follow engineering best practices.
• Support data workflow automation and CI/CD processes using orchestration tools (e.g. Airflow, Prefect).
• Use modern data platforms such as Databricks in production or development environments.

Skills

Python

Data processing

ETL/ELT

Cloud platforms

English

Tools

Databricks

Airflow

Prefect

SQL

NoSQL

Job description

Capgemini Poland seeks a Data Engineer to design, build and optimally run data pipelines, while ensuring quality data across systems. You will collaborate with architects, analysts, and other engineering teams to deliver cloud-native data solutions for international projects.

Join a fast-growing Insights & Data team and work with Databricks, Airflow, and modern platforms in a dynamic, DevOps-driven environment. English communication is essential.