Senior Data Engineer, Extraction

Senior Data Management Professional - Data Engineer - Earnings Extraction Data

Location

London

Business Area

Data

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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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

The Earnings Extraction team is a powerhouse in real-time data extraction of earnings KPIs instrumental in shaping financial market decisions. We leverage data modeling, business intelligence and technical skills to build internal workflows and stay in the forefront of low-latency extraction. Our goal is to deliver highly accurate and fast market-moving data.

The Earnings Extraction team is looking for a Senior Data Management Professional who combines strong technical and problem-solving skills with a passion for data, automation, and innovation. We are seeking a proactive self-starter who can drive workflow transformation initiatives and help shape the future of our data extraction and processing capabilities.

As part of the team, you will apply your analytical and technical expertise to improve automation, scalability, and operational efficiency across our data pipelines and human-in-the-loop workflows. This includes performing data analysis, designing prototype applications, and collaborating closely with Product and Engineering teams to develop innovative solutions. Experience or interest in emerging technologies such as agentic AI and intelligent automation frameworks is considered a strong plus.

In addition to hands-on technical work, you will be expected to lead internal projects and contribute to strategic workflow improvements across the organization. Strong collaboration and stakeholder management skills are essential, as you will work closely with Engineering, Product, and cross-functional teams to deliver scalable and fit-for-purpose solutions. You will also play a key role in mentoring junior team members through project guidance, knowledge sharing, and code reviews.

• Drive workflow innovation and automation initiatives across the Earnings Extraction pipeline by combining technical expertise, operational insight, and data-driven decision making

• Design, build, and improve scalable data pipelines, automation processes, and human-in-the-loop workflows that support structured and unstructured data extraction

• Collaborate closely with Engineering and Product teams to prototype and deliver fit-for-purpose solutions that improve operational efficiency and data quality

• Analyze workflows and operational datasets to identify opportunities for optimization, scalability, observability, and intelligent automation

• Leverage programming, analytics, and emerging AI technologies — including agentic AI frameworks and LLM-based solutions — to enhance internal tooling and processes

• Lead internal projects end-to-end, including solution design, implementation, stakeholder communication, and delivery coordination

• Mentor junior team members through technical guidance, knowledge sharing, and code reviews while contributing to a strong collaborative team environment

• A BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience

• 4+ years of Python programming and scripting in development or production environment

• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)

• Strong problem solving skills, particularly to modify and improve processes and workflows

• Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management

• Ability to work independently as well as in a distributed team environment

• Ability to influence others and lead change

• Experien…