Azure Data Engineer

Capgemini; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medicover

Private life insurance

Multisport card

Capgemini Helpline

NEXT platform training

Home office package

Hybrid work model

Job summary

Capgemini is seeking a skilled Data Engineer to design and implement Azure-based data solutions for large-scale datasets. You will develop and optimize end-to-end data pipelines using tools like Azure Data Factory, Databricks, or Snowflake, and collaborate with architects to enforce best practices in data engineering.

You will contribute to data quality, scalability, and security across Azure platforms, while leveraging Python for processing and automation and maintaining strong English

Qualifications

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

Responsibilities

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

Skills

Strong Python for data processing

Strong communication skills

Very good English language skills

Education

Bachelors or higher in a related field

Tools

Azure

Databricks

Snowflake

Microsoft Fabric

Docker

Kubernetes

Job description

Your Team

Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions.

Come on Board!

Your Task

• 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.

Your Profile

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

Nice to have:

• Strong SQL skills and experience with database optimization.
• Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep).
• Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions.
• Exposure to containerization (Docker, Kubernetes) and cloud security best practices.
• Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming.
• Hands-on experience with PySpark.
• Certifications such as DP-900, DP-203, AZ-204, or AZ-400.

What You'll Love About Working Here

• Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair).

Get To Know Us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.