Senior Data Management Professional - Automation Engineer - Funds
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
Statistics @ 4
Tableau @ 4
Distributed Systems @ 4
Machine Learning @ 4
Data Science @ 4
Communication @ 4
BI @ 4
NLP @ 4
AI @ 4
Data Visualization @ 4
Profiling @ 4
Data Pipelines @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Team
The Funds team in Data is responsible for the data management of the Bloomberg public funds data product. We cover hundreds of thousands of funds across every continent of the globe consuming data from thousands of providers and ingesting and normalising this data into a consistent data model. The various datasets represent millions to billions of individually sourced and processed data points every year and is a significant daily operation.
Role summary
The Funds Data team is seeking a motivated and detail-oriented Automation Engineer to help drive our automation efforts. You’ll be responsible for improving automation rates across the product by identifying inefficiencies, applying modern technologies (including AI/ML where appropriate), and building solutions that improve the data quality along the way. As a Data Management Professional, you will help to develop outcome-based data strategies to optimize the value of data for our customers and improve data operations.
Responsibilities
- Analyze and optimize existing workflows, identifying opportunities for automation and scalability
- Perform quarterly reports outlining data profiling and apply statistical methods to support data quality measurements
- Design, build and maintain data pipelines and tools to improve straight-through processing and accuracy
- Evaluate and apply AI/ML/NLP techniques to enhance extraction processes and decision-making
- Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve automation rates and ensure consistency in quality
- Lead projects globally to improve data quality for a variety of customer types and use cases
- Employ quantitative methods to advise and enhance decision-making capability in business planning, process improvement, and solution management
- Keep up with industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted & collaborative setting
Requirements
- A BA/BS degree or higher
- 3+ years of Python programming and scripting in a production environment
- Ability to work independently as well as in a distributed team environment
- Exceptional problem-solving skills, numerical proficiency and high attention to detail
- Experience building or maintaining automated workflows, pipelines, or data systems
- Understanding and experience in large-scale distributed systems
- Solid ability to combine technical data science traits with good business insight
- Strong analytical abilities with passion for data and evidence-based decision-making
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
Nice to have
- Knowledge of Funds Data and their uses
- Experience with data visualization or BI tools such as Tableau or Qlik Sense
- Understanding of Machine Learning, applied statistics and data analytics
Compensation and benefits
Salary Range: 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
How to apply
Apply via the Bloomberg careers link provided in the original posting.