(Senior) Azure Data Engineer

Capgemini; Wrocław; Hybrid; PLN 170,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model

70+ training tracks and certifications

Private medical care

Job summary

Capgemini Polska is seeking an experienced Data Engineer to design and implement Azure-based data solutions for large and unstructured datasets. You will leverage Azure Databricks, Data Factory, and Data Lake Gen2 to build scalable data pipelines, analytics and ML tasks, while collaborating with architects to enforce best practices.

You will contribute to modern DWH/Big Data projects on the Azure platform, perform migrations from on‑prem to cloud, and mentor junior engineers in Azure

Qualifications

• Extensive experience in Big Data or Cloud projects handling large/unstructured data.
• Practical knowledge of Azure storage, compute, networking, and DevOps with project experience.
• Strong Python and SQL skills.
• Azure certifications (DP-900/200/201, AZ-204, AZ-400) advantageous.
• Experience with Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Power BI.

Responsibilities

• Designing and implementing Azure Data solutions for large/unstructured datasets.
• Using Azure Databricks and other services for data processing, analytics and ML tasks.
• Collaborating with solution architects to promote data engineering best practices in Azure.
• Implementing and testing modern DWH/Big Data solutions on Azure with CI/CD.
• Migrations from on‑prem to public cloud; improve data processing efficiency.
• Mentoring junior data engineers in Azure technologies.

Skills

Big Data processing

Python

SQL

English

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Gen2

Power BI

Azure Function

Job description

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.

YOUR TEAM

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting‑edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.

YOUR TASKS

• 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.

YOUR PROFILE

• 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 completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) 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.
• 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.

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.