Azure Data Engineer: Build Scalable Data Pipelines

Capgemini; Województwo wielkopolskie; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Well-being culture

Hybrid working model

Extensive training opportunities

Medicover healthcare and private life

Job summary

Capgemini in Poland is seeking a data engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize pipelines with Azure Data Factory, Databricks, or Snowflake, collaborating with architects to apply best practices in data engineering.

The role emphasizes data quality, security, and scalability, with strong English communication required and exposure to cloud-native services across multiple Azure components.

Qualifications

• Strong experience in data engineering, including working with Azure.
• Strong Python for data processing and automation.
• Hands-on experience with Databricks, Snowflake, or Microsoft Fabric.
• Strong communication skills and very good English language skills.

Responsibilities

• Design and implement Azure-based data solutions for large-scale and unstructured datasets.
• Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
• Collaborate with solution architects to define and implement best practices in data engineering.
• Ensure data quality, scalability, and security across all Azure-based solutions.

Skills

Azure data engineering

Python for data processing

Data modeling

English communication

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

Capgemini in Poland is seeking a data engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize pipelines with Azure Data Factory, Databricks, or Snowflake, collaborating with architects to apply best practices in data engineering.

The role emphasizes data quality, security, and scalability, with strong English communication required and exposure to cloud-native services across multiple Azure components.