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- Tasks: Join our team to design and optimise cloud-based data infrastructure on GCP.
- Company: Be part of a dynamic company leading in cloud data solutions.
- Benefits: Enjoy hybrid work options and a collaborative environment.
- Why this job: Work with cutting-edge technology and make a real impact in data engineering.
- Qualifications: 5+ years in data engineering, 1-2 years with Google Cloud Platform required.
- Other info: Must have rights to work in the UK; no sponsorship available.
The predicted salary is between 43200 - 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 at christophe.ramen@focusonsap.org.
Senior GCP Data Engineer employer: Focus on SAP
Contact Detail:
Focus on SAP Recruiting Team
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
Brush up on your SQL and Python skills before any interviews. Be prepared to discuss how you've used these languages in previous roles, especially in relation to data engineering tasks, as this will be crucial for the role.
✨Tip Number 3
Familiarise yourself with DevOps practices and CI/CD pipelines, particularly in cloud environments. Being able to discuss how you've implemented these processes in past projects can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with GCP. Engaging in discussions about industry trends and best practices can provide valuable insights and potentially lead to referrals.
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 showcases your understanding of data engineering and your ability to design and maintain scalable data pipelines. Mention your familiarity with DevOps practices and any consulting experience you have.
Highlight Relevant Projects: Include details about specific projects where you've implemented ETL processes or automated infrastructure deployment using tools like Terraform. This will help illustrate 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, as strong written 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 SQL and Python Skills
Since proficiency in SQL and Python is crucial for this role, be ready to solve a coding challenge or answer technical questions related to these languages. Brush up on common data manipulation tasks and be prepared to explain your thought process.
✨Discuss Infrastructure Automation
Familiarity with tools like Terraform and CI/CD pipelines is essential. Be prepared to discuss your experience with infrastructure automation and how it has improved your previous projects. Share examples of how you've implemented Infrastructure as Code in past roles.
✨Communicate Effectively
Strong communication skills are key for collaborating with various stakeholders. Practice explaining complex technical concepts in simple terms, and be ready to discuss how you've worked with data analysts and scientists to meet their data requirements.
