Data Engineer

Capgemini; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Capgemini Poland is seeking a Data Engineer to join a global marketing data platform project for a leading FMCG client. You will design and implement scalable data solutions in cloud environments, enabling advanced analytics and data-driven marketing decisions.

You will work with Databricks, Spark and Python to build and optimize ETL pipelines, collaborate with stakeholders, and deliver high-quality data products in an international team.

Qualifications

• 4+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, Spark, and Databricks.
• Solid knowledge of SQL and PySpark for large-scale data processing.

Responsibilities

• Design, develop, and maintain scalable data processing solutions in cloud environments.
• Build, optimize, and support ETL pipelines and data integration for analytics and reporting.
• Collaborate with business stakeholders to analyze requirements and deliver new functionalities using Databricks, Spark, and Python.

Skills

Python

Spark

Databricks

SQL

PySpark

Data pipelines

Tools

Databricks

Python

Spark

SQL

PySpark

ETL pipelines

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Your role

As a Data Engineer, you will join a team responsible for developing and enhancing a global marketing data platform for one of the world's leading FMCG companies. You will play a key role in building scalable data solutions that enable advanced analytics and data-driven marketing decisions.

Your tasks

• Design, develop, and maintain scalable data processing solutions in cloud environments.
• Build, optimize, and support ETL pipelines, as well as data integration and transformation processes to ensure high-quality, reliable, and consistent data for analytics and reporting platforms.
• Collaborate with business stakeholders to analyze requirements, troubleshoot production issues, support end users, and deliver new functionalities using technologies such as Databricks, Spark, and Python.

Your profile

• 4+ years of experience in Data Engineering, with strong hands‑on expertise in Python, Spark, and Databricks.
• Strong knowledge of SQL and practical experience using PySpark to process and transform large‑scale datasets.
• Proven experience in designing, building, and maintaining data pipelines, ETL/ELT workflows, and data integration solutions.
• Experience working with cloud‑based data platforms; familiarity with Google Cloud Platform (GCP) is a plus.
• Strong analytical and problem‑solving skills, with the ability to work effectively in a collaborative, international environment.
• Professional English proficiency (B2/C1 level).

What You'll Love About Working Here

• 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 Sports card.
• 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, TED Talks and Udemy Business materials and trainings.
• 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).
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

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.

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 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 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com