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- Tasks: Design and maintain scalable data pipelines using Azure technologies.
- Company: Capgemini is a global leader in business and technology transformation.
- Benefits: Enjoy a collaborative work culture with opportunities for career growth and remote work options.
- Why this job: Join a team that empowers you to shape your career and make a social impact.
- Qualifications: 10 years of experience with Azure tools and strong programming skills in Python, R, or Scala.
- Other info: Be part of a diverse team of 350,000 members across 50 countries.
The predicted salary is between 43200 - 72000 £ per year.
Principal Data Engineer – London
Reference Code: 276060-en_GBContract Type: PermanentProfessional Communities: Delivery Excellence
Get The Future You Want!
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.
Your Role:
We are seeking a highly skilled and motivated Data Engineer with hands-on experience in the Azure Modern Data Platform . The ideal candidate will have a strong foundation in Azure Data Factory, Azure Databricks, Synapse Analytics (Azure SQL DW), and Azure Data Lake , along with proficiency in Python, R, or Scala . This role requires a deep understanding of both traditional and NoSQL databases, distributed data processing, and data transformation techniques.
- Design, develop, and maintain scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics .
- Perform data transformation and analysis using Python/R/Scala on Azure Databricks or Apache Spark .
- Optimize Spark jobs and debug performance issues using tools like Ganglia UI .
- Work with structured, semi-structured, and unstructured data to extract insights and build data models.
- Implement data storage solutions using Parquet , Delta Lake , and other optimized formats.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Ensure data security and compliance with Information Security principles.
- Utilize version control systems like GitHub and follow Gitflow practices.
- Participate in Agile development methodologies including SCRUM , XP , and Kanban .
Job Profile
- 10 years of experience with Azure Data Factory, Azure Databricks, Apache PySpark, and Azure Synapse Analytics
- Strong programming skills in Python, R, or Scala
- Proficient in NoSQL databases such as MongoDB, Cassandra, Neo4J, CosmosDB, and Gremlin
- Skilled in traditional RDBMS like SQL Server and Oracle, and MPP systems such as Teradata and Netezza
- Hands-on experience with ETL tools including Informatica, IBM DataStage, and Microsoft SSIS
- Excellent communication and collaboration abilities
- Proven track record of working with large, complex codebases and Agile development teams
- Demonstrated leadership in guiding technical teams and mentoring junior engineers
- Familiar with data governance and data quality frameworks
- Certified in Azure Data Engineering or related technologies
About Capgemini
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 350,000 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, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want |
Principal Data Engineer - London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer - London
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory and Databricks. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at Capgemini can provide valuable insights and potentially give you an edge during the interview process.
✨Tip Number 3
Prepare to discuss your leadership and mentoring experiences, as these are key aspects of the role. Think of specific examples where you've guided teams or improved processes, as this will demonstrate your fit for the position.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being able to discuss recent developments or innovations in Azure and data governance during your interview will show your passion and commitment to the field.
We think you need these skills to ace Principal Data Engineer - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Databricks, and Synapse Analytics. Include specific projects where you've used Python, R, or Scala, and mention any relevant certifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Capgemini's mission. Mention how your skills align with the job requirements and how you can contribute to their goals.
Showcase Relevant Projects: In your application, include examples of past projects that demonstrate your ability to design and maintain scalable data pipelines. Highlight your experience with both traditional and NoSQL databases.
Highlight Soft Skills: Capgemini values collaboration and communication. Make sure to mention your experience working in Agile teams and your ability to mentor junior engineers, as these are key aspects of the role.
How to prepare for a job interview at Capgemini
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Azure Data Factory, Databricks, and Synapse Analytics. Be prepared to discuss specific projects where you utilised these tools, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about optimising Spark jobs and debugging performance issues. Prepare examples of how you've tackled similar problems in the past, and be ready to explain your thought process clearly.
✨Emphasise Collaboration and Communication
Since this role involves working with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated data requirements and delivered solutions that met team goals.
✨Prepare for Agile Methodologies
Familiarise yourself with Agile practices like SCRUM, XP, and Kanban. Be prepared to discuss your experience in Agile environments and how you’ve contributed to team success through these methodologies.
