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- Tasks: Design and maintain high-performance data pipelines on Google Cloud Platform.
- Company: Join a digital innovation organisation with a hybrid working model.
- Benefits: Enjoy a competitive salary and flexible working arrangements.
- Why this job: Make an impact by optimising data models in a fast-paced environment.
- Qualifications: Extensive experience with GCP, strong Python skills, and familiarity with Kafka.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A digital innovation organization is seeking a Senior Data Engineer located in London, with a hybrid working model. This role involves designing and maintaining high-performance data pipelines, ensuring data integration, and building optimized data models.
Candidates should have extensive experience with Google Cloud Platform, strong Python skills, and familiarity with technologies like Kafka. The position is full-time at the mid-senior level, ideal for those thriving in a collaborative and fast-paced environment.
Senior Data Engineer — Real-Time Pipelines on GCP employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Real-Time Pipelines on GCP
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP or have experience with real-time pipelines. 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 related to data pipelines and GCP. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Kafka knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical skills and past experiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Senior Data Engineer role. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Data Engineer — Real-Time Pipelines on GCP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Collaborative Spirit: Since we thrive in a collaborative environment, mention any experiences where you’ve worked closely with others to solve problems or deliver projects. It’s all about teamwork here!
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 Retelligence
✨Know Your Tech Stack
Make sure you’re well-versed in Google Cloud Platform and the specific tools mentioned in the job description, like Kafka. Brush up on your Python skills too, as you’ll likely be asked to demonstrate your coding abilities during the interview.
✨Showcase Your Pipeline Experience
Prepare to discuss your previous experience with designing and maintaining data pipelines. Have specific examples ready that highlight your problem-solving skills and how you’ve optimised data models in past projects.
✨Emphasise Collaboration
Since this role thrives in a collaborative environment, be ready to talk about how you’ve worked with cross-functional teams. Share stories that illustrate your ability to communicate effectively and contribute to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
