About this role
Salary: £55,000 - 95,000 per year
Requirements: 7+ years of experience in data engineering or a similar role; years of experience are a guide, and we will consider candidates who can demonstrate the necessary skills.Proficiency in Python programming.Experience building and managing data pipelines.Knowledge of data warehousing and ETL processes.Excellent problem-solving and communication skills. Responsibilities: Design and develop scalable Python data pipelines that read from APIs and structured files such as Excel and Parquet.Translate domain- and source-specific business logic into efficient code that converts source data into structured data for downstream applications.Use tools such as Pandas and Pydantic to transform and structure data, ensuring quality, consistency, and adherence to 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 our cloud environment.Mentor and guide junior team members in data engineering practices. Technologies: CI/CDCloudETLExcelSupportMarketingPythonpandas More:
We are seeking a Senior Data Engineer for our Climate Data Utility Tech Team in London, within the Marketing and Public Relations business area. Our team supports the Net-Zero Data Public Utility, whose mission is to provide open and accessible public-good data through its website and APIs. The role involves working with data from a wide range of sources and formats. Discover more about what makes Bloomberg unique through our podcast series, featuring our culture, values, and people.
last updated 40 week of 2026