Data Engineer - Pharma

Adecco; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading pharmaceutical company in London is seeking a Data Engineer to build scalable data solutions that enhance scientific innovation. The ideal candidate has expertise in Python, SQL, and data engineering, along with experience in Google Cloud. Responsibilities include building data pipelines, collaborating with researchers, and ensuring code quality. This role offers a hybrid work model.

Qualifications

• Experience in data engineering.
• Strong Python & SQL skills.
• Experience with Google Cloud or similar.

Responsibilities

• Build and maintain data pipelines using Python, Spark, SQL, BigQuery, and Google Cloud.
• Collaborate with scientists to meet research data needs.
• Ensure high-quality, well-documented, and tested code.
• Improve performance metrics and integrate data across teams.

Skills

Data engineering

Python

SQL

Google Cloud

Unit testing

Agile

Tools

Spark

BigQuery

Git

Docker

Nextflow

Airflow

NLP

Job description

Data Engineer - AI/ML Leading Pharma London (Hybrid)

My client a leading pharmaceutical company is looking for a Data Engineer who thrives on solving complex challenges and building scalable data solutions that power scientific innovation.

Key Responsibilities

• Build and maintain data pipelines using Python, Spark, SQL, BigQuery, and Google Cloud
• Collaborate with scientists to meet research data needs
• Ensure high-quality, well-documented, and tested code
• Improve performance metrics and integrate data across teams

Requirements

Essential:

• Experience in data engineering
• Strong Python & SQL skills
• Experience with Google Cloud or similar
• Familiarity with unit testing, Git, and Agile

Desirable:

• Experience with bioinformatics or scientific datasets
• Knowledge of Nextflow, Airflow, NLP, and Docker
• Exposure to AI/ML applications

If the role aligns with your skills and experience, please apply with your updated CV