Senior Azure Data Engineer

Capgemini; Wrocław; Hybrid; PLN 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

Training and certification opportunities

Private medical care and life insurance

Various benefits including Netflix and Spotify

Job summary

Capgemini is seeking a data engineer to design and implement Azure Data solutions in Wrocław, Poland. The role requires experience with Cloud data processing, Python, and SQL, along with Azure technologies like Data Lake, Databricks, and event handling. You'll mentor junior engineers and enjoy a hybrid working model with ergonomic home office support. Capgemini values diversity and inclusion, providing a supportive community for career growth.

Qualifications

• Strong experience in Big Data or Cloud projects for large datasets.
• Practical Azure cloud knowledge in Storage, Compute, Networking, and DevOps.
• Experience with technologies such as Data Lake Gen2, Event Hub, and DataBricks.

Responsibilities

• Designing and implementing Azure Data solutions for extensive datasets.
• Utilizing Azure Databricks for data processing and machine learning.
• Mentoring junior data engineers in Azure technologies.

Skills

Big Data or Cloud projects experience

Python

SQL

Azure cloud knowledge

Data Lake Gen2

Event Hub

Data Factory

DataBricks

Azure DWH

API Azure

Azure Function

Power BI

English language

Education

Certificates (DP-900, DP-200/201, AZ-204, AZ-400)

Job description

Overview

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Responsibilities

• Designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets;
• Utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability;
• Collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem;
• Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment;
• Data processing efficiency improvement, migrations from on-prem to public cloud platforms;
• Mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.

Qualifications

• Strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle);
• Practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience;
• Very good knowledge of Python and SQL;
• Practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400);
• Experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI;
• Very good command of English.

What you’ll love about working here

• Enjoy hybrid working model that fits your life - after onboarding, connect from a modern office with ergonomic work from home, thanks to a home office package (including laptop, monitor, and chair).
• Access to over 70 training tracks with certification opportunities on our NEXT platform. Dive into education resources such as Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Medicover Sport.

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.

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.