Senior Data Management Professional - Data Engineer - Company Financials Workflow

Bloomberg LP; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to enhance their financial data services. In this role, you will leverage your expertise in Python and data management to drive innovative workflow strategies and implement high-standard solutions. Collaborating with cross-functional teams, you will ensure that data is accessible and fit-for-purpose, while continuously improving processes. This opportunity allows you to make a significant impact in a fast-paced environment, working with cutting-edge technology and contributing to the financial success of clients worldwide. If you are passionate about data and technology, this role is perfect for you.

Qualifications

• 4+ years in financial/fintech services, focusing on data management.
• Experience with object-oriented programming in production environments.

Responsibilities

• Analyze processes to identify workflow opportunities and ensure data quality.
• Oversee development lifecycle and optimize workflow solutions.

Skills

Python

Project Management

Data Analysis

Collaboration Skills

Education

Advanced Degree in Relevant Subject

Certified Data Management Professional (CDMP)

Tools

ETL Pipelines

Bloomberg Terminal

Data Modeling

Job description

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team:

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Workflow team is looking for a Data Engineer who can combine deep subject matter expertise and advanced technical skills to acquire, validate, store, protect, and model comprehensive financial data which is accessible to our clients across various Bloomberg platforms. You will use these skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials. You will also be working very closely with partners across Product Data & Technology, including Product Managers, Engineering and other Company Financials groups to meet the needs of our external and internal clients.

We'll trust you to:

• Proactively analyze processes with data to identify workflow opportunities and ensure our datasets are fit-for-purpose
• Gather feedback from internal and external workflow users including clients, vendors and different global teams
• Engage with Business/Data Product Managers and Engineering teams to strategize, prioritize and plan roadmaps in the global landscape
• Oversee the development lifecycle including design, optimize, test workflow solutions together with Data subject matter experts
• Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions
• Retain the workflow knowledge and IP while communicating the changes and progresses to stakeholders around the globe
• Govern the workflow by setting up appropriate monitoring systems and plans to ease incident management as well as ensure business continuity

You'll need to have:

*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

• 4+ years* of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions
• Experience in using object-oriented programming languages (eg. Python) in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills

We'd love to see:

• Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it)
• Experience in Bloomberg products, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!