Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown." The position offers a pay rate of "unknown" and is fully remote within the UK. Key skills include Python, R, SQL, AWS, and experience with healthcare data standards.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#CDISC (Clinical Data Interchange Standards Consortium) #Agile #Python #ML (Machine Learning) #Lambda (AWS Lambda) #Data Modeling #ML Ops (Machine Learning Operations) #Data Engineering #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #FHIR (Fast Healthcare Interoperability Resources) #Databases #R #Data Processing #Database Design #Docker #Redshift #Deployment #AWS (Amazon Web Services) #Model Deployment #Big Data #Kubernetes #NoSQL
Role description
Title: Data Engineer
Location: Remote (UK Region)
Expectations:
• Candidates must be willing to work overlapping hours with Eastern and/or UK time zones.
• Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
• Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
• Strong proficiency with relational databases.
• Strong background in data modeling and database design.
• Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
• Familiarity with Containerization such as Docker and EKS/Kubernetes.
• Familiarity with one or more RnD research process and associated regulatory requirements.
• Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
• Exposure to big data technologies and handling.
• Knowledge of machine learning operations (MLOps) and model deployment.
• Strong problem-solving and analytical abilities.
• Excellent communication skills and collaboration skills.
• Experience working in an Agile development environment.
Title: Data Engineer
Location: Remote (UK Region)
Expectations:
• Candidates must be willing to work overlapping hours with Eastern and/or UK time zones.
• Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
• Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
• Strong proficiency with relational databases.
• Strong background in data modeling and database design.
• Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
• Familiarity with Containerization such as Docker and EKS/Kubernetes.
• Familiarity with one or more RnD research process and associated regulatory requirements.
• Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
• Exposure to big data technologies and handling.
• Knowledge of machine learning operations (MLOps) and model deployment.
• Strong problem-solving and analytical abilities.
• Excellent communication skills and collaboration skills.
• Experience working in an Agile development environment.
