Data Engineer

Capgemini; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Company car

Yearly bonus

Medicover private medical care

Dental coverage

Senior care

Oncology coverage

Life insurance

NAIS platform access

Training tracks (NEXT)

GenAI certifications

Education platforms access

Job summary

Capgemini is hiring a Data Engineer to join the Insights & Data team in Poland (Gdańsk, Kraków, Poznań, Warszawa, Wrocław). You will design and maintain ETL/ELT pipelines, integrate data from databases, APIs and streaming sources, and ensure data quality across distributed platforms.

You will work with Python, Databricks and cloud environments (AWS/Azure/GCP), collaborating with architects, analysts and other engineers to deliver scalable data solutions for global projects.

Qualifications

• Experience building data pipelines and data processing solutions.
• Proficiency in Python for data manipulation, automation and integration.
• Experience with cloud environments (AWS, Azure or GCP).
• Experience working with large datasets and distributed data systems.
• Hands-on experience with relational and/or NoSQL databases.
• Clear and effective communication skills in English.

Responsibilities

• Design, build and maintain ETL/ELT data pipelines in cloud and distributed environments.
• Process, clean and transform large datasets across various platforms.
• Integrate data from multiple systems including databases, APIs and streaming sources.
• Ensure data quality, consistency and performance across workflows and environments.
• Collaborate with Data Architects, analysts and product teams to implement data solutions.
• Participate in code reviews and follow engineering best practices.
• Support data workflow automation and CI/CD processes using orchestration tools.
• Use modern data platforms such as Databricks in production or development environments.

Skills

Python

ETL/ELT

Data pipelines

Airflow

Prefect

Databricks

Cloud platforms

SQL

NoSQL

CI/CD

English communication

AWS

Azure

GCP

Tools

Databricks

Airflow

Prefect

SQL

NoSQL

Job description

# Data EngineerGdańsk, Kraków, Poznań, Warszawa, WrocławApply for this job* Permanent* Experienced Professionals* Data & AI* ID 438376-en\\_US## Short DescriptionChoosing 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**As a Data Engineer, you will be responsible for developing reliable data pipelines, integrating data from multiple sources and ensuring data quality and consistency across systems. You will collaborate closely with architects, analysts and other engineering teams to support the delivery of highquality data solutions. This is an excellent opportunity for someone who wants to deepen their expertise in cloud data engineering, work with modern tools and contribute to impactful international projects.## **Your project**Join our rapidly growing Insights & Data team of over 400 professionals delivering largescale, cloudnative and datadriven solutions for global clients. We design and build modern data platforms, scalable data architectures and endtoend data processing systems that power analytics and machine learning across industries. Our teams follow best practices in SDLC, Agile and DevOps to ensure high quality, performance and security at every stage of the data lifecycle.## **Your tasks**Your Responsibilities* Design, build and maintain ETL/ELT data pipelines in cloud and distributed environments.* Process, clean and transform large datasets across various platforms.* Integrate data from multiple systems including databases, APIs and streaming sources.* Ensure data quality, consistency and performance across workflows and environments.## **Your tasks*** Work closely with Data Architects, analysts and product teams to implement data solutions.* Participate in code reviews and follow engineering best practices.* Support data workflow automation and CI/CD processes using orchestration tools (e.g. Airflow, Prefect).* Use modern data platforms such as Databricks in production or development environments.## **Your profile*** Experience as a Data Engineer with strong practical skills in data processing.* Proficiency in Python for data manipulation, automation and integration.* Experience working with cloud environments (AWS, Azure or GCP).* Experience working with large datasets and distributed data systems.* Handson experience with relational and/or NoSQL databases.* Clear and effective communication skills in English.## **What You'll love about working here*** **Practical benefits:**company car, yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.* **Award-winning development programs** to support your career at every stage. Connected Manager - our leadership development program has already helped over 300 employees accelerate their growth!* **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 TED Talks and Udemy Business materials and trainings.* **Cutting-Edge Technology:** Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.* **Power to build a sustainable, more inclusive future:**Be the change and engage in our initiatives like IT Girls rEvolution Academy, CharITy Hackathon, Tree Planting or Grant Program.## **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 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.