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Data Pipeline Engineer

On-site in Birmingham·Full-time·Added today (last checked 13 Oct)

GlobalData

41 open roles

Overview

Salary
£70,000 a year

About £4,260 a month after tax.

Contract
Permanent contract, full-time hours
Closing date
Apply by Tuesday 10 November

Skills

The role

Who we are...

GlobalData Healthcare operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change.

By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what's coming, move faster, and lead with confidence.

Our solutions are used by over 5,000 organizations across the world's largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.

Why join GlobalData?

GlobalData Healthcare is GlobalData's largest division, and at a pivotal point in its growth journey. Following multiple acquisitions and having recently received transformational investment, we are in the process of being carved out from the main GlobalData business. We need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world's most successful organizations.

Our big ambitions mean that life at GlobalData Healthcare is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people.

The role...

GlobalData Healthcare is building an AI-enabled competitive intelligence platform for the pharmaceutical market. It supports our consulting teams in tracking competitor drugs, clinical trials, regulatory decisions and market news for pharma clients, combining GlobalData's data, continuous monitoring of external sources, AI-assisted analysis and the expertise of our consultants. The platform runs on AWS, with a Python and PostgreSQL back end and a React front end. We are forming a small Birmingham-based team to develop and run it.

You will build and maintain the pipelines that bring data into the platform: GlobalData's drug, clinical trial and company data, alongside news, company and regulatory sources. You will make sure that data is reliable, well-structured and up to date, so consultants and AI features can depend on it.

What you'll be doing...

  • Build and maintain data ingestion from a range of internal and external sources.
  • Design and maintain data models and database structures.
  • Monitor data quality and pipeline health, and resolve issues quickly.
  • Optimise database performance and manage schema changes.
  • Work with the wider team and the infrastructure team to keep pipelines robust and well documented.

What we're looking for...

Essential

  • At least 2 years' experience building and running data pipelines in production, using Python and SQL.
  • In-depth experience with PostgreSQL or a similar relational database, including performance tuning.
  • Experience working with external data sources such as APIs, feeds and web data.
  • A methodical approach to data quality and testing.

Desirable

  • Experience running workloads on AWS (e.g. ECS, Lambda, SQS, S3).
  • Experience with entity matching or record linkage.
  • Familiarity with pharmaceutical or clinical trial data.

In addition to a rewarding career, we support our GlobalData Heathcare colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit careers.globaldata.com

GlobalData Healthcare believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData Healthcare is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

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About GlobalData

Industry
Data and analytics
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