Bloomberg

data engineer for the Net-Zero Data Public Utility

In short

Senior data engineer role at Bloomberg's Climate Data Utility Tech Team, building scalable Python data pipelines for the Net-Zero Data Public Utility, an open public-good data platform. Work involves transforming data from APIs and files using Pandas and Pydantic, collaborating with data scientists, and mentoring junior engineers. Requires 7+ years of data engineering experience, strong Python skills, and knowledge of ETL and data warehousing. Based onsite in London, full-time.

About the Team
The Climate Data Utility Tech Team develops scalable data pipelines for the Net-Zero Data Public Utility, which provides open and accessible public-good data through its website and APIs.
Responsibilities
•Design and develop scalable Python data pipelines to read from APIs and structured files such as Excel and Parquet
•Translate domain- and source-specific business logic into efficient code that transforms source data into structured data for downstream applications
•Implement data transformations and structuring with Pandas and Pydantic to ensure data quality, consistency, and compliance with business logic
•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 the cloud environment
•Mentor and guide junior team members in data engineering practices
Requirements
•7+ years of experience in data engineering or a similar role
•Proficiency in Python
•Experience building and managing data pipelines
•Knowledge of data warehousing and ETL processes
•Excellent problem-solving and communication skills
Location
London, England, United Kingdom

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