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- Tasks: Join us to enhance data management tools and workflows for our backend infrastructure.
- Company: Bloomberg is a leading global financial services firm committed to diversity and inclusion.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Make a real impact by integrating multi-source data for a sustainable future.
- Qualifications: Extensive experience with complex data models and Python-based cloud solutions required.
- Other info: We value diverse backgrounds and offer support for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
As a NZDPU Team Member, you will play a crucial role in developing and improving technical tools, techniques, and workflows for data management within our backend infrastructure. This infrastructure is essential for integrating multi-source data into a unified system that drives our platform. You will also oversee the technical requirements and accountability of our external team, which is responsible for enhancing and maintaining the overall platform. Collaboration with data, product, and technical teams will be necessary to design systems and integrations that promote the alignment of data and domain expertise for scalable technical implementation.
Must Haves
- Extensive experience working with complex data models: This includes handling 1000s of fields across multiple sources that evolve and expand over time. You should be comfortable managing and manipulating large, intricate datasets and adapting to changes in data structures.
- Proven track record of shipping solutions through internal and external teams: Your solutions should be accessible to the public and a wide range of users, demonstrating your ability to deliver impactful products that meet the needs of diverse audiences.
- Ability to translate industry and team knowledge into a performant data system architecture: This architecture should be designed for web and API-driven applications, validation frameworks, and data transparency systems. You should be able to bridge the gap between domain expertise and technical implementation.
- Hands-on experience building and deploying Python-based solutions to cloud-based infrastructure: You should have a strong understanding of Python and experience deploying solutions to cloud environments, showcasing your ability to develop and implement scalable, cloud-native applications.
- Technical leadership in system design and architecture: You should have demonstrated experience in leading the technical design and architecture of complex systems, and the software development lifecycle.
Nice to have
- Experience with corporate emissions and financial data: Familiarity with these types of data would be beneficial, as it aligns with the team's focus on emissions-related data.
- Experience working with Google Cloud Platform: Experience with GCP would be advantageous, as it is where we deploy and maintain our infrastructure.
Net Zero Data Public Utility - Technical Architect London, GBR Posted yesterday employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
amer_recruit@bloomberg.net
StudySmarter Expert Advice 🤫
We think this is how you could land Net Zero Data Public Utility - Technical Architect London, GBR Posted yesterday
✨Tip Number 1
Familiarise yourself with the latest trends in data management and cloud infrastructure, particularly focusing on Python-based solutions. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals who are currently working in similar roles or within the Net Zero Data Public Utility sector. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed complex data models and led technical projects. Being able to articulate your past experiences clearly will set you apart from other candidates.
✨Tip Number 4
Showcase your understanding of corporate emissions and financial data, even if it's just a basic familiarity. This will highlight your alignment with the team's focus and demonstrate your proactive approach to learning about relevant topics.
We think you need these skills to ace Net Zero Data Public Utility - Technical Architect London, GBR Posted yesterday
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Technical Architect position. Familiarise yourself with the key skills mentioned in the job description, such as experience with complex data models and Python-based solutions.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your technical leadership, experience with cloud-based infrastructure, and any projects where you've successfully managed large datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and your ability to deliver impactful solutions. Use specific examples from your past work to demonstrate how you meet the 'must-haves' outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Bloomberg L.P.
✨Showcase Your Data Management Skills
Be prepared to discuss your extensive experience with complex data models. Highlight specific examples where you've managed large datasets and adapted to evolving data structures, as this is crucial for the role.
✨Demonstrate Your Technical Leadership
Share instances where you've led the technical design and architecture of systems. Discuss your approach to overseeing projects and how you ensure that solutions are delivered effectively through both internal and external teams.
✨Familiarise Yourself with Cloud Solutions
Since hands-on experience with cloud-based infrastructure is essential, be ready to talk about your Python-based solutions deployed in cloud environments. Mention any specific projects or challenges you've faced in this area.
✨Understand the Importance of Collaboration
Emphasise your ability to work collaboratively with data, product, and technical teams. Prepare to discuss how you align domain expertise with technical implementation to create scalable systems, as this will be key in your role.
