Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data pipelines and ensure top-notch data quality.
- Company: Global tech partner focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and career development opportunities.
- Why this job: Shape your career while making a real impact in data management.
- Qualifications: 5+ years in data analytics or programming with ETL expertise.
- Other info: Join a collaborative team and grow your skills in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A global technology partner is seeking a data solutions expert to provide advanced data solutions using software for data management and analytics. The ideal candidate will have at least five years of experience in data analytics or programming and a strong background in ETL processes.
Responsibilities include:
- Developing scalable data pipelines
- Ensuring data quality
- Partnering with internal clients to align data solutions with business needs
This is an excellent opportunity to shape your career in a collaborative environment.
Lead Data Engineer: Build Scalable Data Pipelines in Manchester employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Build Scalable Data Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and analytics projects. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your ETL processes and data management strategies. Be ready to discuss how you've tackled challenges in the past and how you can align data solutions with business needs.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Engineer: Build Scalable Data Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and programming. We want to see how your skills align with the role of Lead Data Engineer, so don’t be shy about showcasing your ETL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data pipelines and how you can contribute to our team. Let us know how your past experiences have prepared you for this role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to ensure data quality and meet business needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Capgemini
✨Know Your Data Inside Out
Make sure you brush up on your data analytics and ETL processes. Be ready to discuss specific projects where you've built scalable data pipelines and how you ensured data quality. This will show that you not only understand the theory but have practical experience too.
✨Align with Business Needs
Familiarise yourself with the company’s business model and how they use data solutions. Prepare examples of how you've partnered with internal clients in the past to align data strategies with their needs. This demonstrates your ability to think beyond just the technical aspects.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about challenges you've faced in previous roles and how you overcame them. This will highlight your analytical thinking and adaptability, which are crucial for a Lead Data Engineer.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current data challenges, and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it opens up a two-way conversation!
