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- Tasks: Design and build scalable data solutions for top financial institutions using GCP.
- Company: Leading consulting firm with a focus on technology and engineering.
- Benefits: Competitive salary, discretionary bonuses, and personal development opportunities.
- Why this job: Join a dynamic team and make an impact in the financial sector with cutting-edge technology.
- Qualifications: Expertise in GCP, Python, SQL, and PySpark; agile experience preferred.
- Other info: Hybrid role with collaborative culture and growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting firm is seeking a GCP Senior Data Engineer to join their Technology & Engineering team in London. In this hybrid role, you will design and build data solutions for Tier 1 financial institutions.
Key qualifications include:
- Strong expertise in Google Cloud Platform
- Proficiency in Python, SQL, and PySpark
- Proven experience in agile environments
A collaborative mindset is essential for successful client engagement. Competitive benefits offered including discretionary bonuses and personal development opportunities.
Senior GCP Data Engineer - Scalable Cloud Pipelines employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GCP Data Engineer - Scalable Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GCP or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and collaborative problem-solving. Be ready to discuss how you've worked in teams to deliver data solutions, as this is key for client engagement.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to spot your application!
We think you need these skills to ace Senior GCP Data Engineer - Scalable Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform, Python, SQL, and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your collaborative mindset will benefit our team. We love seeing genuine enthusiasm for what we do.
Showcase Agile Experience: Since this role involves working in agile environments, make sure to mention any relevant experience you have. We appreciate candidates who can demonstrate adaptability and teamwork in fast-paced settings.
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 Capco
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific services like BigQuery, Dataflow, and Pub/Sub, and how you've used them in past projects. This will show that you're not just familiar with GCP but can leverage it effectively for scalable data solutions.
✨Showcase Your Coding Skills
Since proficiency in Python, SQL, and PySpark is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous code. Practising common data engineering tasks in these languages will help you feel more confident during the interview.
✨Emphasise Agile Experience
Given the importance of agile environments, be ready to share examples of how you've worked in such settings. Discuss your role in sprints, collaboration with cross-functional teams, and how you adapt to changing requirements. This will highlight your ability to thrive in dynamic situations.
✨Prepare for Client Engagement Scenarios
As this role involves client interaction, think about times you've successfully engaged with clients or stakeholders. Prepare to discuss how you handle feedback, manage expectations, and ensure client satisfaction. A collaborative mindset is crucial, so showcasing your interpersonal skills will set you apart.
