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For Companies At a Glance
- Tasks: Lead the migration of data pipelines to Databricks and design scalable solutions.
- Company: Capgemini, a global leader in tech transformation with a diverse community.
- Benefits: Empowering career growth, collaborative culture, and impactful projects.
- Why this job: Shape the future of technology while making a real difference in the world.
- Qualifications: Experience in data engineering and proficiency in Databricks and Apache Spark.
- Other info: Join a dynamic team with opportunities for mentorship and professional development.
The predicted salary is between 36000 - 60000 £ per year.
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 currently migrating our data pipelines from AWS to Databricks, and are seeking a Senior Databricks Engineer to lead and contribute to this transformation. This is a hands-on engineering role focused on designing, building, and optimizing scalable data solutions using the Databricks platform.
YOUR PROFILE
- Lead the migration of existing AWS-based data pipelines to Databricks.
- Design and implement scalable data engineering solutions using Apache Spark on Databricks.
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines.
- Optimize performance and cost-efficiency of Databricks workloads.
- Develop and maintain CI/CD workflows for Databricks using GitLab or similar tools.
- Ensure data quality and reliability through robust unit testing and validation frameworks.
- Implement best practices for data governance, security, and access control within Databricks.
- Provide technical mentorship and guidance to junior engineers.
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.
Databricks Engineer employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Capgemini on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Databricks projects. When you get that interview, having tangible examples of your work can set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Databricks Engineers. Mock interviews with friends or using online platforms can help you nail your responses and boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Capgemini team. Don’t miss out on this opportunity!
We think you need these skills to ace Databricks Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Engineer role. Highlight your experience with AWS and Databricks, and don’t forget to showcase your skills in designing scalable data solutions. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our goals at Capgemini. Let us know what excites you about working with data and technology.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's migrating data pipelines or optimising workloads, we love seeing real-world examples of your work. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our community!
How to prepare for a job interview at Capgemini
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand its architecture, features, and how it integrates with AWS. Be ready to discuss your experience with Apache Spark and any specific projects you've worked on that involved data migration or pipeline optimisation.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially related to data engineering. Think about times when you had to optimise performance or ensure data quality. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to discuss how you've collaborated with others in the past. Highlight your communication skills and how you’ve translated complex data requirements into actionable solutions. This will show that you can work well in a team environment.
✨Emphasise Continuous Learning
Capgemini values mentorship and growth, so talk about how you stay updated with industry trends and technologies. Mention any relevant certifications or courses you've completed, and express your enthusiasm for mentoring junior engineers. This shows you're not just focused on your own growth but also on helping others succeed.
