Data Engineer - Pharma
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Pharma, offering a hybrid position in London for a contract length of "unknown" with a pay rate of "unknown." Key skills include Python, SQL, Google Cloud, and experience with bioinformatics is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Datasets #Data Pipeline #Python #ML (Machine Learning) #AI (Artificial Intelligence) #Spark SQL #SQL (Structured Query Language) #NLP (Natural Language Processing) #Docker #Unit Testing #BigQuery #Spark (Apache Spark) #Agile #Scala #GIT #Data Engineering #Airflow #Cloud
Role 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
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
