Senior Data Management Professional - Data Engineering - Company Financials BI

at  Bloomberg

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 - all while providing platinum customer support to our clients.

The Company Financials Business Intelligence team is looking for a Data Engineer who can combine a deep interest in multifaceted, industry-specific data sets with a broad interest in connecting these data sets to drive insights at scale. In this role you will need to demonstrate a deep technical understanding of both data ingestion into and consumption from Business Intelligence software to drive meaningful customer outcomes. You are encouraged to use your skills to help drive the next generation of Company Financials products, combining humans, processes, and technology in novel ways to tackle meaningful problems. You will need to lead and influence team members from various backgrounds; while working closely while working 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 build strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose
• Get to know how data moves through a complex system and identify the best ways to constructively and safely expose it to team members
• Gather feedback from internal and external workflow users including clients, vendors and global company financials teams, and synthesize this feedback into a meaningful action plan
• Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product’s development
• Leverage technical knowledge of Bloomberg’s proprietary or open-source stack to implement high-standard and innovative solutions

You’ll need to have:

• A Bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field
• 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
• Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale
• Solid project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Ability to formulate hypotheses in the face of ambiguity, and to find efficient ways to validate them
• 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 Company Financials products, Bloomberg Terminal proficiency, and/or enterprise financial data products
• Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases