Data Engineer (On-site) @ Capgemini Invent

Capgemini Invent; Województwo pomorskie; Hybrid; PLN 120,000 - 160,000; Full time

Benefits offered by this job

Training budget

Sport subscription

Private healthcare

International projects

Free coffee

Bike parking

Free parking

Mobile phone

In-house trainings

Modern office

No dress code

Job summary

Capgemini Invent in Poland is seeking experienced Data Engineers to join a strategic Data & AI initiative supporting a leading international legal organization. You will contribute to the development and maintenance of AI-powered data platforms delivering scalable solutions for business-critical use cases.

Join a global consulting leader with hybrid work in Gdańsk or Wrocław, competitive benefits, training opportunities and exposure to cutting-edge technologies like Azure Databricks and Delta

Qualifications

• 5+ years of Data Engineering experience.
• Strong PySpark, Python and SQL skills.
• Hands-on experience with Azure Databricks and Delta Lake.
• Experience delivering end-to-end data platforms and ingesting data from enterprise systems and APIs.
• Knowledge of data quality and governance practices.
• Experience with Azure DevOps, CI/CD and YAML pipelines.
• Fluent English and availability to work on-site in Gdańsk or Wrocław.

Responsibilities

• Build and maintain scalable data pipelines using Azure Databricks and Delta Lake.
• Ingest, cleanse, transform and deliver data for analytics and AI use cases.
• Develop metadata-driven and reusable data-engineering frameworks.
• Implement data quality, CDC, SCD2, observability and audit solutions.
• Deploy data products using Databricks Asset Bundles and Azure DevOps.
• Collaborate with architects, engineers and business stakeholders.

Skills

Data Engineering

PySpark

Python

SQL

Azure Databricks

Delta Lake

Azure DevOps

CI/CD

YAML

Fluent English

Tools

Databricks

Azure Databricks

Delta Lake

Azure DevOps

Job description

Your profile

• 5+ years of Data Engineering experience.
• Strong PySpark, Python and SQL skills.
• Hands-on experience with Azure Databricks and Delta Lake.
• Experience delivering end-to-end data platforms and ingesting data from enterprise systems and APIs.
• Knowledge of Auto Loader, CDC, SCD2, data quality and governance practices.
• Experience with Azure DevOps, CI/CD and YAML pipelines.
• Strong problem-solving and communication skills.
• Fluent English and availability to work on-site in Gdańsk or Wrocław.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your role

We are looking for experienced Data Engineers to join a strategic Data & AI initiative supporting a leading international legal organization. You will contribute to the development and maintenance of advanced AI‑powered products, delivering scalable data solutions for business‑critical use cases.

What You'll love about working here

• Practical benefits: 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.
• 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.
• 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.

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.

• Build and maintain scalable data pipelines using Azure Databricks and Delta Lake.
• Ingest, cleanse, transform and deliver data for analytics and AI use cases.
• Develop metadata-driven and reusable data-engineering frameworks.
• Implement data-quality, CDC, SCD2, observability and audit solutions.
• Deploy data products using Databricks Asset Bundles and Azure DevOps.
• Optimize Delta Lake models and ETL/ELT processes.
• Collaborate with architects, engineers and business stakeholders.

Requirements

Data engineering, PySpark, Python, SQL, Azure Databricks, Azure DevOps, CD, YAML, Communication skills

Additional

• Training budget
• Sport subscription
• Private healthcare
• International projects
• Free coffee
• Bike parking
• Free parking
• Mobile phone
• In-house trainings
• Modern office
• No dress code.