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- Tasks: Develop cloud-based data applications using Python and GCP, focusing on AI solutions.
- Company: Join Liberty Blume, a fast-growing tech-enabled back-office solutions provider.
- Benefits: Enjoy competitive salary, 25 days leave, wellbeing benefits, and a matched pension scheme.
- Why this job: Be part of an innovative team that values curiosity and customer-centric solutions.
- Qualifications: Experience in Python, data engineering, and GCP is essential; familiarity with Agile tools preferred.
- Other info: Hybrid role based in Bradford or Leeds, with flexible working options.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Python GCP Data Applications Developer to join our team. This hybrid role offers flexibility to be based in either Bradford or Leeds. You will be expected to work in the office at least two days a week. Join our Technology and Product Development team to build innovative cloud-based data and technology-driven back-office products using Google’s AI offerings. You will leverage your Python and data skills to develop data processing pipelines and Generative AI applications in the cloud What will you be doing? Meet business requirements and collaborate with the team to build solutions. Participate in product technical architecture design, focusing on data and AI. Collaborate with the broader Technology and Product team to ensure exceptional service standards. Maintain a close relationship with the group security team to ensure compliance of all products and services. We tend to look for people with: Essential Demonstrable experience in Python. Demonstrable experience in data engineering in the cloud. Background in building data applications in GCP. Comfortable working with solutions and products written in Python, SQL, and Docker. Experience with version control solutions such as GitHub, including branching, merging, and pull requests. Preferred Data engineering experience. Experience with Terraform and Bash. Familiarity with Agile tools such as Jira and Confluence. What’s in it for you? Competitive salary + bonus 25 days annual leave with the option to purchase 5 more Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance Matched pension contribution up to 10% Access to our car benefit scheme Access to our online learning platform to continue to develop and grow your career with us The chance to join an innovative, fast-paced and passionate team Who we are: Liberty Blume, a Liberty Global company, is a rapidly growing business services provider, specialising in tech-enabled back-office solutions. Our mission is to deliver efficiency, scale and value to our customers through Business, Procurement and Financial Solutions. If you’re curious, customer centric and enjoy being one step ahead, join us on our scale up journey and unlock your freedom to grow! Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates. We’re eager to hear from you, no matter your background. #J-18808-Ljbffr
Python GCP Data Engineer employer: Liberty Global
Contact Detail:
Liberty Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python GCP Data Engineer
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its data engineering tools. Understanding how to leverage GCP for building data applications will give you a significant edge during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, especially in the context of data processing and AI applications. Being able to demonstrate your coding abilities in Python during technical conversations can set you apart from other candidates.
✨Tip Number 3
Gain hands-on experience with version control systems like GitHub. Being comfortable with branching, merging, and pull requests will be crucial for collaborating effectively within our team.
✨Tip Number 4
Engage with Agile methodologies and tools such as Jira and Confluence. Showing that you can work well in an Agile environment will highlight your adaptability and readiness to contribute to our fast-paced team.
We think you need these skills to ace Python GCP Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, GCP, and data engineering. Use specific examples that demonstrate your skills in building data applications and processing pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and data. Mention how your background aligns with the role's requirements, particularly your experience with cloud solutions and collaboration within teams.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used (like Docker and SQL), and the impact of your work on the project outcomes.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to collaborate and communicate effectively with teams. Mention any experience you have with Agile methodologies or tools like Jira and Confluence.
How to prepare for a job interview at Liberty Global
✨Showcase Your Python Skills
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python for data engineering, and consider bringing examples of your code or applications you've developed.
✨Demonstrate Cloud Experience
Since the role focuses on GCP, be ready to talk about your experience with Google Cloud Platform. Discuss any data applications you've built in GCP and how you've leveraged its services to meet business requirements.
✨Familiarise Yourself with Version Control
As version control is essential for this position, brush up on your knowledge of GitHub. Be prepared to explain your experience with branching, merging, and pull requests, and how these practices have improved your workflow.
✨Understand Agile Methodologies
Since familiarity with Agile tools like Jira and Confluence is preferred, take some time to understand how these tools are used in project management. Be ready to discuss how you've worked in Agile environments and contributed to team collaboration.
