Senior Data Analysis Engineer

1 week ago

London, Greater London, United Kingdom Bloomberg L.P. Full time

Senior Data Management Professional - Data Engineering - Money Markets Data

Senior Data Management Professional - Data Engineering - Money Markets Data

Bloomberg runs on data.

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.

As a result, we have seen higher demand for this data from clients and are creating a new dedicated global Money Markets team to address the opportunities in this space.

As a Money Markets Data Engineer you will be responsible for reviewing and enhancing our automated processes, building ETLs and developing quality controls.

You will design, implement, and maintain our data infrastructure, ensuring the seamless flow of data from various sources to our databases.

You will collaborate closely with engineering, domain experts, and other partners to understand data requirements, develop pipelines, and optimize data workflows for efficient data processing.

In addition to that, you will build business intelligence tools to analyze our data, derive insights and trends.

We are looking for someone highly motivated who is innovative and resourceful, able to collaborate with different partners, and will mentor junior members of the group who are looking to develop technically.

Develop a good understanding about the issuance techniques, Money Markets workflows and how its data is used and consumed by our clients

Use technical skills to develop, scale, and maintain the data pipelines and processes that interact with our databases

Optimally collaborate with a variety of internal partners across Data, Engineering, and Sales on strategic product development and execution

Become familiar with the Bloomberg tech stack as well as standard methodologies related to data management

Use statistics and data visualization to generate insights about ongoing operations and projects and communicate the results effectively

Incorporate machine learning and statistics to detect anomalies and drive quality improvements in areas such as accuracy, completeness, consistency and reliability

Communicate with impact, ensuring complex information is articulated in a meaningful way to a multifaceted audience including senior executives

Use technology to tackle problems and optimize current processes in areas such as data quality, data acquisition and workflow automation alongside domain experts and technical account managers

Work with clients on ad-hoc basis, either in support of questions around the dataset or the technology behind it or as part of collaboration on automation projects

4+ years of Python programming and scripting in a production environment*~4+ years of experience working with databases either SQL or NoSQL*~ Understanding of machine learning as well as applied statistics and data analytics

~ Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management

~ Experience using data analysis and visualization tools such as Tableau or QlikSense

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Bloomberg is a disability inclusive employer.

net (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.

Alternatively, you can get support from our disability partner EmployAbility, please contact or Data Management Professional - Data Engineering - Money Markets Data

Bloomberg runs on data.