Senior Databricks Data Engineer

Capgemini; Katowice; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Hybrid work model

Job summary

Capgemini Polska, a leading global provider of technology and digital transformation services, seeks a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build robust data pipelines in Python and collaborate with solution architects to uphold best practices in data engineering.

Join a dynamic team that works across AWS, Azure, and GCP, ensuring data security and scalable cloud architectures while growing through extensive training

Qualifications

• Data engineering experience with Databricks (at least 1 year).
• Python proficiency for automation and data transformation.
• Experience with AWS, Azure, or GCP cloud platforms.
• Strong communication and English language skills.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Collaborate with solution architects to uphold data engineering best practices.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms

Data engineering

Communication

English

Tools

SQL

Terraform

Bicep

PySpark

Kafka

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 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.

Insights and Data

Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.

Your Tasks

• Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Work closely with solution architects to define and uphold best practices in data engineering.
• Ensure data consistency, security, and scalability within cloud-based environments.

Your Profile

• Strong experience in data engineering, with at least 1 year of hands‑on Databricks expertise.
• Strong experience in Python for automation and data transformation.
• Experience working with at least one major cloud platform (AWS, Azure, or GCP).
• Strong communication skills and strong English language skills.

Nice to have

• Solid understanding of SQL with experience in query optimization and data modeling.
• Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).
• Experience with real‑time data streaming technologies such as Kafka or Spark Streaming.
• Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.
• Hands‑on experience with PySpark for distributed data processing.
• Relevant certifications such as Databricks Certified Data Engineer Associate or cloud‑based data certifications.

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.