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- Tasks: Join our team as a Data Engineer, managing financial data and enhancing workflows.
- Company: Bloomberg delivers global data solutions, empowering clients with accurate information and insights.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration.
- Why this job: Be part of a team that drives market insights and improves financial analysis through technology.
- Qualifications: 4+ years in fintech, proficiency in Python, and strong project management skills required.
- Other info: Ideal for those passionate about data and looking to make an impact in finance.
The predicted salary is between 43200 - 72000 £ per year.
Bloomberg relies on data to power its products, providing clients with comprehensive information by integrating data and context globally and around the clock. Our Data team is responsible for delivering accurate news, analytics, and data through innovative technology, focusing on problem-solving to improve workflows and implement technological solutions that enhance our systems, products, and processes.
The Company Financials team offers fast, accurate market-moving data—such as broker estimates and financial filings—to help clients stay competitive. We utilize financial modeling, industry expertise, data management, and technical skills to derive critical metrics and insights, continuously improving our financial analysis and modeling products based on market understanding and client needs.
The Company Financials Workflow team seeks a Data Engineer with deep subject matter expertise and advanced technical skills to manage comprehensive financial data—acquiring, validating, storing, protecting, and modeling it for accessibility across Bloomberg platforms. You will develop workflow strategies, deliver high-quality user and technical workflows, and enhance automation pipelines. Collaboration with Product Data & Technology teams, including Product Managers and Engineers, is essential to meet internal and external client needs.
Responsibilities:
- Analyze processes proactively to identify workflow opportunities and ensure dataset suitability
- Gather feedback from users including clients, vendors, and global teams
- Collaborate with Business/Data Product Managers and Engineering teams to strategize and plan roadmaps
- Oversee development lifecycle—design, optimize, test workflow solutions with subject matter experts
- Implement innovative solutions using Bloomberg's proprietary or open-source tech stack
- Maintain workflow knowledge and communicate progress to stakeholders worldwide
- Establish monitoring systems for workflow governance, incident management, and business continuity
Requirements:
- 4+ years of experience in the financial/fintech industry, including exchanges, market data providers, or financial tech firms
- Proficiency in object-oriented programming languages like Python in development or production environments
- Experience with high-volume, low-latency ETL pipelines and data lifecycle management
- Familiarity with databases, schemas, data modeling, and formats such as PDF, HTML, XBRL, JSON, CSV
- Strong project management, prioritization skills, and a customer-focused approach
- Excellent collaboration, communication, and cross-departmental working skills
Preferred:
- Advanced degree or Certified Data Management Professional (CDMP)
- Experience with Bloomberg products, Terminal, and Data Workflows
- Knowledge of statistical methods, Machine Learning, AI, and NLP in business contexts
If this role interests you, apply to join our team. We look forward to connecting with you about next steps!
Senior Data Management Professional - Data Engineer - Company Financials Workflow | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Engineer - Company Financials Workflow | London, UK
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to financial data management. Understanding their offerings will help you speak confidently about how your skills can enhance their workflows during interviews.
✨Tip Number 2
Network with current or former employees in the Company Financials team or similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Stay updated on the latest trends in data engineering and financial technology. Being knowledgeable about emerging technologies and methodologies will not only impress interviewers but also demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented data solutions or improved workflows. Having concrete examples ready will showcase your problem-solving abilities and technical expertise, making you a strong candidate for the role.
We think you need these skills to ace Senior Data Management Professional - Data Engineer - Company Financials Workflow | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in the financial or fintech industry. Emphasise your proficiency in object-oriented programming languages like Python and any experience with ETL pipelines, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data management and how your skills align with the responsibilities of the Data Engineer position. Mention specific projects or experiences that demonstrate your problem-solving abilities and collaboration skills.
Showcase Technical Skills: Include a section in your application that details your technical skills, particularly those related to data management, databases, and workflow solutions. Highlight any experience with Bloomberg products or similar technologies, as this will set you apart.
Prepare for Potential Questions: Anticipate questions related to your experience with data lifecycle management and your approach to improving workflows. Be ready to discuss specific examples of how you've implemented innovative solutions in past roles.
How to prepare for a job interview at Bloomberg
✨Showcase Your Technical Skills
Be prepared to discuss your experience with object-oriented programming languages, particularly Python. Highlight specific projects where you've developed ETL pipelines or managed data lifecycle processes, as this will demonstrate your technical expertise relevant to the role.
✨Understand Financial Data Management
Familiarise yourself with financial data concepts and the tools used in the industry. Be ready to explain how you have previously handled high-volume data and the methods you employed for data validation and storage, as this is crucial for the position.
✨Emphasise Collaboration Experience
Since the role requires working closely with various teams, share examples of past collaborations with product managers and engineers. Discuss how you contributed to project roadmaps and workflow strategies, showcasing your ability to work cross-departmentally.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially in relation to workflow optimisation. Think of scenarios where you identified inefficiencies and implemented solutions, as this aligns with the company's focus on improving workflows through innovative technology.
