Data Engineer Databricks @ Capgemini
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Job Details
Overview
The Data Engineer Databricks at Capgemini is responsible for managing the lifecycle of a data product, from design and build to deployment and maintenance.
Your Role
Translate business needs and rules into comprehensive data definitions, models, and quality requirements. Analyze data sources to design optimal data structures (reporting, analytics, operational) and define relationships between entities. Collaborate with data scientists, BI developers, and analysts to maintain data integrity and accessibility. Work with stakeholders to ensure data models support business processes and analytics needs. Design, implement, and maintain scalable data pipelines and workflows using Databricks and the Azure data framework. Ensure data quality, integrity, and compliance with security standards. Document processes for team knowledge sharing and future development.
Your Profile
- University Degree in Computer Science, Cybernetics or a related technical discipline
- Prior 3-5 years of related work experience
- Understanding of the data lifecycle value chain (ETL/ELT, DWH/Data Lake)
- Familiarity with Azure data ecosystem: Azure Ingestion framework, Databricks, Azure Synapse, Delta Lake
- Data modelling skills including logical to physical models (star schema, snowflake schema)
- Proficiency in Python, SQL, DAX, and Power BI
- Test-driven development and strong analytical problem-solving skills
- DevOps mindset, strong ownership, teamwork and ability to collaborate in a large team
- Excellent command of the English language, both written and spoken
Additional Plus
Experience with retail, marketing, supply chain and finance sectors. Previous experience in a scaled agile environment is also considered an advantage.
Work Environment
This is a hybrid role with 3 days per week on-site at the Bucharest office. Capgemini offers a flexible work environment with teams spread globally, access to training programs, and an attractive benefits package.
About Capgemini
Capgemini is a global leader in technology transformation with over 360,000 team members in more than 50 countries. With 55 years of heritage and deep industry expertise, Capgemini addresses a broad range of business needs fueled by innovations in cloud, data, AI, digital engineering and more. In 2022, the Group reported global revenues of €22 billion.
Key skills/competency
- Data Engineering
- Databricks
- Azure
- ETL/ELT
- Data Modelling
- Python
- SQL
- Data Quality
- DevOps
- Team Collaboration
How to Get Hired at Capgemini
🎯 Tips for Getting Hired
- Customize your resume: Emphasize Databricks and Azure experience.
- Highlight data modeling: Share specific project results.
- Prepare examples: Focus on ETL/ELT processes and challenges.
- Practice interview questions: Cover technical and behavioral insights.