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Location
In office (Bucharest)
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Feb 26, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

About the job

Choosing Capgemini means choosing a company where you will be empowered to shape your career the way you want, supported and inspired by a collaborative global community, and 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, inclusive future.

YOUR ROLE

  • Automate deployments using CI/CD and infrastructure as code practices
  • 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:

  • Flexible and dynamic work environment involving teams spread across different global locations;
  • Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
  • Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
  • Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).

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. About Us Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. The Group reported in 2022 global revenues of €22 billion.

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