Data Engineer - Collibra @ Capgemini
placeLondon, England, United Kingdom
attach_money €120,000
businessOn Site
scheduleFull Time
Posted 17 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @capgemini.com
Recommended after applying
Job Details
Overview
Join Capgemini as a Data Engineer - Collibra and shape your career at a global technology transformation partner. You will design scalable data pipelines, optimize data workflows, and manage metadata using Collibra, while handling diverse data types and mentoring junior engineers.
Key Responsibilities
- Design and implement scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and Azure Data Lake.
- Develop and optimize data transformation workflows using Python, R, or Scala on Azure Databricks or Apache Spark.
- Integrate and manage metadata with Collibra for effective data governance.
- Handle structured, semi-structured, and unstructured data and design efficient data storage structures.
- Lead technical delivery, mentor junior engineers, and ensure secure, compliant data handling.
- Collaborate in Agile teams and utilize Git-based workflows for code management.
Requirements
- Minimum 7 years of hands-on experience in Azure Data Engineering.
- Strong working knowledge of Collibra for data governance.
- Experience in the insurance domain is highly desirable.
- Proficiency in Python, R, or Scala and deep understanding of NoSQL and distributed processing.
- Experience with ETL tools like Informatica, IBM Datastage, or Microsoft SSIS.
- Familiarity with Agile methodologies and Git-based version control.
- Preferred certifications: Microsoft Certified Azure Data Engineer Associate and Collibra Certified Ranger.
About Capgemini
Capgemini is a global business and technology transformation partner with over 350,000 team members in more than 50 countries. With a strong 55-year heritage and 2023 global revenues of €22.5 billion, Capgemini helps organizations accelerate their digital and sustainable transformations.
Key skills/competency
Azure, Databricks, Collibra, Python, Spark, SQL, ETL, Agile, Data Governance, Metadata
How to Get Hired at Capgemini
🎯 Tips for Getting Hired
- Customize your resume: Highlight Azure and Collibra experience.
- Showcase project impact: Detail data pipeline implementations.
- Research Capgemini: Understand company culture and global reach.
- Prepare for technical interviews: Review Spark optimizations and database skills.
📝 Interview Preparation Advice
Technical Preparation
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Review Azure Data Factory and Databricks.
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Practice Python and Spark coding challenges.
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Study Collibra metadata management use cases.
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Refresh SQL and NoSQL database concepts.
Behavioral Questions
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Describe a team project challenge.
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Explain mentoring junior engineers experience.
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Discuss conflict resolution in Agile teams.
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Outline stakeholder communication examples.
Frequently Asked Questions
What expertise does Capgemini expect for a Data Engineer - Collibra role?
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How important is experience with Agile methodologies at Capgemini for this role?
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What certifications are preferred for Data Engineer - Collibra at Capgemini?
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