Climate Data Utility Tech Team - Senior Data Engineer

Bloomberg is hiring a Climate Data Utility Tech Team - Senior Data Engineer in London, United Kingdom. Level rates it ; you can apply on Bloomberg.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
The posting mentions Python, pandas and Pydantic among its tools and skills.
Level classes it as a senior role.
Bloomberg has 335 other open roles on Level.

AI in this role

Design and implement scalable data pipelines and data transformation processes for the Net-Zero Data Public Utility.

pythonpandaspydanticci-cd

data-engineeringetldata-pipelinesdata-quality

The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs.
A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Your responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility’s ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility.

Responsibilities

Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet).
Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications.
Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements.
Collaborate with data scientists and analysts to support data-driven decision-making.
Document data engineering processes, including data lineage, data dictionaries, and system architectures
Maintain best practices through code reviews, version control, and adherence to industry standards.
Deploy production quality code through CI/CD pipelines into our cloud environment.
Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices.

Qualifications

7+ years of experience in data engineering or a similar role.
Proficiency in Python programming.
Experience with building and managing data pipelines.
Knowledge of data warehousing and ETL processes.
Excellent problem-solving and communication skills.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Climate Data Utility Tech Team - Senior Data Engineer at Bloomberg rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Climate Data Utility Tech Team - Senior Data Engineer is an open job at Bloomberg.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in London, United Kingdom.
The job was posted on October 1, 2026.
Seniority: senior.
Applications are handled by Bloomberg. Apply on Bloomberg

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData PipelinesData QualityPythonpandasPydanticCI/CD

Also common in data engineer jobs at this level

SQL AWS Spark Azure Airflow Databricks

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Pipelines, Data Quality, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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