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- Tasks: Design and build modern data pipelines using Google BigQuery and cloud solutions.
- Company: Join Glocomms, a growing company in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity to work in a dynamic environment with career advancement potential.
- Why this job: Make a real impact on data governance and quality while collaborating with key business teams.
- Qualifications: Strong knowledge of data pipeline orchestration and experience with cloud solutions.
The predicted salary is between 60000 - 80000 £ per year.
Glocomms is seeking a skilled data engineer in London to design, build, and maintain production-grade data pipelines using a modern cloud data warehouse solution. The role requires collaboration with business stakeholders, including Finance and Actuarial teams, to maximize the value of data sources. Strong knowledge of Google BigQuery, Cloud solutions, and data pipeline orchestration is essential for success in this position. It's an exciting opportunity to enhance data governance and quality in a growing company.
GCP Data Engineer: Build Modern Data Pipelines & Models employer: Glocomms
Contact Detail:
Glocomms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer: Build Modern Data Pipelines & Models
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Google Cloud and data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and models. Use platforms like GitHub to share your projects, and don’t forget to highlight your experience with BigQuery and cloud solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've collaborated with teams like Finance and Actuarial in the past. We want to see how you can maximise the value of data sources!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace GCP Data Engineer: Build Modern Data Pipelines & Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google BigQuery and cloud solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to enhancing data governance and quality at StudySmarter.
Showcase Collaboration Skills: Since this role involves working with Finance and Actuarial teams, mention any past experiences where you collaborated with different stakeholders. We love seeing teamwork in action!
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 Glocomms
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Google BigQuery and cloud solutions. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working with Finance and Actuarial teams, prepare examples of how you've successfully collaborated with different stakeholders in the past. Highlight your communication skills and how you ensure everyone is on the same page.
✨Demonstrate Data Governance Knowledge
Familiarise yourself with data governance principles and be prepared to discuss how you can enhance data quality in a growing company. Think of specific instances where you've implemented or improved data governance in previous roles.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data pipeline challenges or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.