Data Engineer with Databricks

YOUR PROFILE

• You have hands-on experience in data engineering and are comfortable working independently on moderately complex tasks.
• You've worked with Databricks and PySpark in real-world projects.
• You're proficient in Python for data transformation and automation.
• You've used at least one cloud platform (AWS, Azure, or GCP) in a production environment.
• You communicate clearly and confidently in English.

Nice to Have

• Solid SQL skills and understanding of data modeling.
• Exposure to CI/CD pipelines, Terraform, or other DevOps tools.
• Familiarity with streaming technologies (e.g., Kafka, Spark Streaming).
• Knowledge of cloud data storage solutions (e.g., Data Lake, Snowflake, Synapse).
• Relevant certifications (e.g., Databricks Certified Data Engineer Associate).

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 ROLE

Join our dynamic Insights & Data team—over 400 professionals delivering cutting-edge, data-driven solutions. We specialize in Cloud & Big Data engineering, building scalable architectures across AWS, Azure, and GCP. You'll be part of a team that manages the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices.

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 TikTok — @capgeminipl.

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. 
 

Apply now

,[Develop and maintain data processing pipelines using Databricks and PySpark., Collaborate with senior engineers and architects to implement scalable data solutions., Work with cloud-native tools to ingest, transform, and store large datasets., Ensure data quality, consistency, and security in cloud environments., Participate in code reviews and contribute to continuous improvement initiatives.] Requirements: Data engineering, Databricks, PySpark, Python, Cloud platform, Azure, GCP, SQL, Data modeling, CD, Terraform, DevOps, Kafka, Spark, Cloud, Storage, Snowflake Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.

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