Databricks Data Engineer
Careers.capgemini.com
Apply to this jobChoosing 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.
Job Description
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 ROLE
- 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
- A supportive environment for continuous learning, including certifications and access to global expertise.
- Flexible work culture based on trust, hybrid options, relaxed hours, and a focus on results.
- Opportunities to contribute to social impact initiatives like Impact Together Week.
- A wide range of employee perks: meal vouchers, Multisport card, birthday day off, free office gym access, and monthly company breakfasts.
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Summary
Design and build data pipelines using Databricks, Python, and cloud platforms.
Job title
Databricks Data Engineer
Experience level
1+ years
Minimum experience
1+ years exp
Industry
technology
Location requirements
Prague, CZ; remote work not specified
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Prague, Czechia