At a Glance
- Tasks: Join our team to design and optimise cloud-based data infrastructure.
- Company: Be part of a dynamic company leading in cloud data solutions.
- Benefits: Enjoy hybrid work options and a collaborative environment.
- Other info: Must have rights to work in the UK; no sponsorship available.
- Why this job: Work with cutting-edge technology and make a real impact on data management.
- Qualifications: 5+ years in data engineering, 1-2 years with Google Cloud Platform required.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a GCP Data Engineer to join our client’s dynamic team and help us architect and optimize our cloud-based data infrastructure.
Key skills:
- 5+ years of experience in data engineering, with at least 1–2 years hands-on with Google Cloud Platform.
- Strong experience with BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
- Proficient in SQL, Python, and Apache Beam.
- Familiarity with DevOps and CI/CD pipelines in cloud environments.
- Experience with Terraform, Cloud Build, or similar tools for infrastructure automation.
- Understanding of data warehousing concepts and architecture.
- Consulting background is a plus.
- Strong communication skills (oral & written).
- Rights to work in the UK is a must (No Sponsorship available).
Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP).
- Develop ETL processes using tools like Cloud Dataflow, Apache Beam, BigQuery, and Cloud Composer.
- Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
- Optimize performance and cost-efficiency of GCP data services.
- Implement data quality, monitoring, and governance practices.
- Ensure security and compliance best practices in data handling.
- Automate infrastructure deployment using Infrastructure as Code tools such as Terraform.
Should you be interested in being considered for this position and would like to discuss further, please apply with your latest CV or share your CV directly with me.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GCP Data Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Google Cloud Platform in your conversations. Highlight specific projects where you've used BigQuery, Cloud Storage, or Dataflow, as this will demonstrate your practical knowledge and expertise.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have worked with GCP. Attend meetups or webinars focused on cloud technologies to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss your experience with DevOps practices and CI/CD pipelines. Be ready to explain how you've implemented these in past roles, as this is a key aspect of the position and will show your ability to integrate seamlessly into the team.
✨Tip Number 4
Familiarise yourself with Terraform and other infrastructure automation tools. Being able to talk about how you've used these tools to automate deployments will set you apart from other candidates and demonstrate your technical proficiency.
We think you need these skills to ace Senior GCP Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Google Cloud Platform, especially your hands-on work with BigQuery, Cloud Storage, and Dataflow. Use specific examples to demonstrate your skills in SQL, Python, and Apache Beam.
Craft a Strong Cover Letter:Write a cover letter that outlines your relevant experience and how it aligns with the responsibilities of the GCP Data Engineer role. Mention your familiarity with DevOps practices and any consulting background you have, as this is a plus.
Showcase Your Projects:If possible, include links to projects or case studies that showcase your ability to design and maintain data pipelines on GCP. This can help demonstrate your practical experience and problem-solving skills.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your communication skills shine through in your written application, as strong communication is essential for this role.
How to prepare for a job interview at Focus on SAP
✨Showcase Your GCP Expertise
Make sure to highlight your hands-on experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've used BigQuery, Cloud Storage, and Dataflow, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Technical Skills
Since the role requires proficiency in SQL, Python, and Apache Beam, be ready to provide examples of how you've applied these skills in real-world scenarios. You might even want to prepare for a technical assessment or coding challenge that could come up during the interview.
✨Understand Data Warehousing Concepts
Brush up on your knowledge of data warehousing concepts and architecture. Be prepared to discuss how you would design and optimise data pipelines, ensuring they are scalable and reliable, which is crucial for this role.
✨Communicate Effectively
Strong communication skills are essential for collaborating with data analysts, scientists, and business stakeholders. Practice articulating your thoughts clearly and concisely, and be ready to explain complex technical concepts in a way that non-technical team members can understand.
