hirly

Capgemini

Data Engineer(Azure)

Poznań, PL

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Capgemini first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
PL
Work mode
On-site / unstated
First seen by hirly
16 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 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). Ask your recruiter about the details.

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.

Original posting on Capgemini's site ↗

Listed on hirly, a job board. hirly is not the employer: Capgemini is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job