Data Engineer

Pharmaceutical Press; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Pharmaceutical Press in London is seeking a Data Engineer to design, build and optimise data platforms and pipelines at scale, partnering with product, engineering and analytics teams.

You will implement reliable ETL, work with AWS, Python, and diverse data types, and contribute to data governance and scalable reporting.

Qualifications

• Strong programming in Python with data-focused projects.
• Experience building scalable data pipelines and ETL processes.
• Experience with AWS services (Lambda, S3, DynamoDB).
• Excellent communication and stakeholder management.
• Knowledge of metadata, taxonomy, and information architecture.

Responsibilities

• Design, build, test, deploy, and monitor data pipelines.
• Develop scalable data models aligned with business needs.
• Collaborate with Data Scientists and Engineers on data solutions.
• Ensure data quality, governance and accessibility.
• Deliver value through iterative, Agile practices.
• Support data migration initiatives and reporting foundations.
• Evolve the data platform and engineering standards.
• Stay updated on emerging data technologies.

Skills

Python

ETL pipelines

AWS

Big data

NoSQL databases

Relational databases

Stakeholder management

Data modelling

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Docker

S3

Lambda

DynamoDB

Job description

Location: London / Hybrid

Working Pattern: Full Time (35 hours)

About the role:

The Data Engineer will design, build, maintain, and optimise the data platforms, pipelines, and infrastructure that enable PhP to collect, store, process, and analyse data at scale.

The role is responsible for developing and supporting reliable data pipelines that integrate data from a range of source systems, including legacy platforms, into centralised data stores. Working closely with product, engineering, and analytics teams, the Data Engineer will help drive data migration initiatives, ensure the quality and integrity of organisational data, and provide the foundations that enable reporting, analytics, and data-driven decision making across PhP.

Main Responsibilities:

• Partner with internal stakeholders to understand business challenges and deliver effective, scalable data solutions.

• Communicate effectively with both technical and non-technical stakeholders, translating complex data concepts into clear business outcomes.

• Design, develop, test, deploy, and monitor reliable data pipelines and distributed data processing solutions.

• Develop high-quality, well-documented, and reproducible data models that are scalable, maintainable, and aligned with business needs.

• Collaborate closely with Data Scientists, Software Engineers, Analysts, and other technology teams to deliver integrated data solutions.

• Ensure data solutions meet the needs of both data producers and consumers, with a focus on data quality, reliability, governance, and accessibility.

• Deliver value iteratively through agile ways of working, prioritising outcomes and continuous improvement.

• Contribute to the evolution of PhP's data platform, engineering standards, and best practices.

• Maintain awareness of emerging technologies and industry trends, continuously developing technical skills and sharing knowledge across the team.

Requirements:

Essential:

We encourage our Data Engineers to continuously learn and adapt to new technologies as project requirements evolve. We are looking for candidates with experience in a number of the following areas:

• Strong programming skills in Python.

• Experience designing and building data pipelines, complex ETL processes, and large-scale data migration solutions.

• Experience with AWS services such as Lambda, DynamoDB, S3, and related cloud-native technologies.

• Strong communication and stakeholder management skills.

• Understanding of content modelling, metadata management, taxonomy design, and information architecture principles.

• Hands-on experience with relational and NoSQL databases.

• Familiarity with big data concepts and technologies for storing and processing large volumes of data.

• Practical experience working with a variety of data types, including text, tabular, graph, time-series, geospatial, and image data.

• Experience with containerisation technologies and public or private cloud environments.

• Understanding of information security, data governance, and data management best practices.

• Experience delivering high-quality technical solutions to agreed timescales, ideally within stakeholder-facing or customer-facing environments.

Desirable:

• Experience designing data architectures within publishing, content, media, or knowledge-focused organisations.

• Understanding of different data architecture approaches, including Data Lakes, Data Warehouses, Data Mesh, streaming, and batch processing.

• Experience with emerging AI technologies, standards, and integration patterns, including Model Context Protocol (MCP).

• Experience contributing to enterprise data modelling, schema design, or content platform modernisation initiatives.

Pharmaceutical Press is the knowledge business of the Royal College of Pharmacy. We’re the world leaders in evidence-based pharmaceutical publications and guidance. Pharmacists and other healthcare professionals trust us to provide expert analysis, educational support, webinars, and news that informs, supports and enhances their practice. We independently source, evaluate, and communicate and make practical medicines knowledge accessible worldwide.

How we are currently working:

PHP supports and works in a hybrid way, which means you will be able to work from home, however, there will be an expectation for collaborative face-to-face working – on average and typically this may be something between 4-8 working days per month at our London Office.

Closing date: 15 October 2026

If you would like to learn more about the role, view our job description

We are passionate about creating a culture of belonging, inclusion, and diversity these are part of our core values at Pharmaceutical Press. At Pharmaceutical Press we do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender, age, or disability and we encourage applications from all backgrounds.