Senior Data Management Professional - Data Engineering - Carbon Data London, GBR Posted yesterday

Bloomberg L.P.; London; On-site; GBP 50,000 - 90,000; Full time

Job description

Senior Data Management Professional - Data Engineering - Carbon Data London, GBR Posted yesterday

Bloomberg L.P.

London

GBP 50,000 - 90,000

Bloomberg runs on data. Our products are fuelled 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.

Our Team:

Carbon-related Data has become increasingly crucial for our clients, providing deeper insights into risks and opportunities for corporates and financial players on the global path to net-zero. Our team is responsible for delivering high-quality data and insights on carbon markets, including emissions, carbon credits, renewable energy credits and other related content for the Bloomberg Terminal and Enterprise products. Our mission is to provide fit for purpose data to our clients, that empowers them to make well-informed business decisions about carbon pricing, risk management, sustainability and beyond.

The Role:

You're the type of person who looks beyond the headline with a keen eye for detail because you know how data inspires market trends, breaking news, and analysis. With ever increasing coverage and demand for timely data, you will be responsible for managing priorities of different initiatives and for utilizing your subject matter expertise to help drive decisions and generate new dataset offerings. You will need to know your customer, their challenges, and their workflows. With this insight, you will bring creative ideas to the table on how we can enhance our data offering, continuously working to make the integration seamless and more efficient.

We have an exciting opportunity for a highly motivated individual to join our expanding Carbon Data Team, based in our London office. As a Data Engineer, you will use your market knowledge and data management skills to support business decisions and drive growth in the carbon markets domain. You will collaborate closely with other departments such as Product and Engineering and play a key role in empowering our clients to make well-informed business decisions.

We’ll trust you to:

1. Develop, scale and maintain the data pipelines that interact with our product and databases for the carbon data product.
2. Design, implement and maintain processes to ensure high quality of carbon data.
3. Collaborate with cross-functional teams, including Engineering, Product and Sales to drive strategic product development and execution.
4. Utilize statistics and data visualization to provide meaningful insights into ongoing processes and projects, communicate the results effectively.
5. Apply your proven project management expertise to ensure technical projects are aligned with requirements and stay on track.
6. Stay informed on market developments in the offset and allowance carbon markets, leveraging your expertise to enhance client support and generate high-value insights and content.

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.

1. Bachelor’s degree or higher in a STEM, a relevant data technology field or sustainability field or equivalent professional work experience.
2. 3+ years of programming experience in a development or production environment.
3. Demonstrable experience in Data Profiling/Analysis using tools such as Python (Pandas) or SQL.
4. Strong communication and interpersonal skills, with the ability to convey complex technical concepts to diverse audiences.
5. Experience in data quality management that ensures data is ready to use, for example, developing proactive data quality strategies, crafting metrics to measure data quality and reporting across organizations.
6. Strong interest in problem solving particularly to modify and improve processes and workflows.
7. Effective project management skills and ability to prioritize tasks accordingly.
8. Demonstrated continuous career growth within an organization.

We’d love to see:

1. An advanced degree/masters/PhD in a STEM subject of Economics/Finance/Sustainability/Environmental Science.
2. Demonstrated experience working with carbon markets and products, or other financial markets.
3. Experience working with SQL or NoSQL databases, including data modelling.
4. Demonstrable experience in Data Profiling/Analysis using tools such as Python (Pandas) or SQL.
5. Proven ability to define and implement data quality metrics as a part of a bigger data architecture framework, understanding use cases, competitive offerings and client expectations.
6. Understanding of large-scale, distributed, end-to-end systems.
7. Exposure to the Bloomberg Terminal and/or Enterprise data products.
8. Hands-on project management experience with familiarity in JIRA and QlikSense.
9. Experience in semantic modelling to enhance data operability across carbon, commodities and ESG reporting datasets.

If this sounds 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, but in the meantime feel free to have a look at this: Bloomberg Professional .

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail] .