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For Companies At a Glance
- Tasks: Craft and optimise data workflows for carbon market insights.
- Company: Join Bloomberg, a leader in data-driven technology and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on sustainability and carbon markets while advancing your tech skills.
- Qualifications: Experience in programming, data engineering, and a passion for environmental data.
- Other info: Collaborative environment with a focus on mentorship and career development.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 delivers high-quality, transparent data and analytics on carbon markets - including emissions, carbon credits, renewable energy credits, and related instruments - across the Bloomberg Terminal and Enterprise products. Our mission is to provide fit-for-purpose, trustworthy carbon data that improves market transparency and empowers clients to make informed decisions about carbon pricing, risk management, and sustainability strategy.
Responsibilities
As a Data Engineer within the Carbon Data team, you will focus on the technical backbone of our carbon and environmental data products - crafting, building, and optimizing the workflows that move data from various sources to our platforms. You will apply sophisticated programming, data modeling, and automation skills to ensure our datasets are consistent, scalable, and ready for downstream use across analytics and applications. Working closely with Product, Engineering, and other data teams, you will find opportunities to streamline processes, improve quality, and expand the breadth of carbon-related content. This role combines hands-on engineering with leadership responsibilities: driving standard methodologies, mentoring peers, and influencing data architecture decisions across the organization.
We will trust you to:
- Develop, scale, and maintain robust data pipelines and workflows that support ingestion, transformation, and delivery of carbon market data.
- Build and implement scalable data models and processes to ensure accuracy, completeness, and consistency across multiple data sources and systems.
- Provide strategic and technical guidance on transforming and validating complex carbon and other related datasets to maintain data integrity throughout processing stages.
- Collaborate with Product, Engineering and Commercial teams and other partners to align data architecture and workflow automation with business and client needs.
- Generate insights through statistical analysis and visualization, communicating trends and anomalies effectively to technical and non-technical partners.
- Lead or contribute to project execution using agile methodologies (e.g., JIRA, QlikSense) to ensure work is aligned, transparent, and on schedule.
- Stay ahead of market and technology developments in carbon trading, registry data standards, and environmental data engineering to inform future improvements and generate high-value insights and content.
Qualifications
You will need to have:
- Proven proficiency in programming within development or production environments, applying Python, SQL, or similar data-focused languages to design and maintain large-scale datasets.
- 4+ years of professional experience in software or data engineering, with a solid foundation in data pipeline design, automation, and workflow orchestration.
- Demonstrated experience working with carbon markets, sustainability data, or other financial market datasets in a technical capacity.
- Strong expertise of data management principles and technologies, including data modeling, transformation, and analysis.
- Experience with SQL and NoSQL databases, including schema design, query optimization, and data modeling.
- Excellent problem-solving outlook, with a focus on improving efficiency and process scalability.
- Superb communication and interpersonal skills, with the ability to convey complex technical concepts to diverse audiences.
- Effective project management and prioritization skills, ensuring technical initiatives remain aligned with requirements and delivered on schedule.
- Bachelor's degree or higher in a STEM, Computer Science, or data-related field (or equivalent professional experience).
Nice to have:
- A Master's degree or professional certification such as DAMA CDMP or DCAM.
- Demonstrated experience in data profiling and analysis using Python (Pandas), SQL, or equivalent tools.
- Demonstrable ability to define and implement data quality metrics as part of a broader data architecture or governance framework.
- Experience with semantic modeling to enhance interoperability across carbon, commodities, and ESG reporting datasets.
- Familiarity with visual analytics and BI tools (QlikSense, Power BI) and agile delivery tools (JIRA, Confluence).
- Understanding of ESG and sustainability data integration, particularly as it relates to carbon pricing, ESG scoring, and climate-related financial disclosures.
How to apply
If this sounds like you: Apply if you think we are a good match. We will get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional
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Senior Data Management Professional - Data Engineer - Carbon Markets employer: isepglobal
Contact Detail:
isepglobal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Engineer - Carbon Markets
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Bloomberg. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to data engineering or carbon markets, share it. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and data pipelines. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Bloomberg.
We think you need these skills to ace Senior Data Management Professional - Data Engineer - Carbon Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your programming prowess in Python and SQL, and any experience you have with carbon markets or sustainability data.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about carbon data and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can demonstrate their analytical thinking and innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at isepglobal
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of carbon markets and data management principles. Brush up on your knowledge of Python, SQL, and any relevant tools like QlikSense or Power BI. Being able to discuss how you've applied these skills in past roles will show you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to data pipeline design and workflow automation. Think of specific challenges you've faced and how you overcame them. This will demonstrate your analytical mindset and ability to improve efficiency, which is crucial for the role.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely need to communicate with both technical and non-technical partners, so being able to convey your ideas clearly will set you apart. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Stay Current with Industry Trends
Familiarise yourself with the latest developments in carbon trading and environmental data engineering. Being knowledgeable about current trends will not only impress your interviewers but also show your genuine interest in the field. Prepare to discuss how these trends could impact the role and the company.
