micro1
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer- AI trainer, contract (full-time or part-time), UK remote, paying competitive rates. Requires BSc in Computer Science, expertise in Hadoop, Spark, Kafka, cloud platforms, and programming skills. Preferred: AI training experience and industry certifications.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 20, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Big Data #Spark (Apache Spark) #Data Architecture #"ETL (Extract #Transform #Load)" #Hadoop #Data Engineering #Programming #Data Pipeline #Data Quality #ML (Machine Learning) #Security #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Data Science #Data Processing #Azure #Kafka (Apache Kafka) #Cloud #GCP (Google Cloud Platform) #Python #Java #Scripting #Computer Science
Role description
Job Title: Data Engineer- AI trainer
Job Type: Contract (full-time or part-time)
Location: UK, Remote
Job Summary:
Join our customer’s team as a Data Engineer- AI trainer, where you will play a pivotal role in shaping the next generation of AI systems through expert data engineering. As part of an innovative, remote-first environment, you will collaborate with cross-functional teams to build robust, scalable big data solutions and help train AI models for real-world impact.
Key Responsibilities:
• Design, develop, and optimize large-scale data pipelines using Hadoop, Spark, and related technologies.
• Build and maintain efficient data architectures to support AI model training and analytics.
• Integrate real-time data streams via Kafka and ensure high data quality and reliability.
• Leverage cloud platforms to deploy, orchestrate, and monitor distributed data processing workloads.
• Collaborate closely with data scientists and machine learning engineers to deliver seamless data solutions for AI initiatives.
• Document complex data workflows and provide clear training resources to empower team members.
• Champion best practices in data engineering, ensuring security, scalability, and performance.
Required Skills and Qualifications:
• BSc in Computer Science, Data Engineering, or related field.
• Proven expertise in big data technologies including Hadoop and Spark.
• Strong experience with Kafka for stream processing and integration.
• Solid background in data engineering with proficiency in building and scaling ETL pipelines.
• Hands-on experience working with leading cloud platforms (AWS, GCP, Azure, etc.).
• Exceptional written and verbal communication skills to articulate technical concepts with clarity.
• Proficient in scripting/programming languages (e.g., Python, Scala, or Java).
• Demonstrated ability to work independently in a remote collaboration environment.
Preferred Qualifications:
• Prior experience as an AI trainer or in AI/ML prompt engineering projects.
• Advanced degree in Computer Science, Data Engineering, or related field.
• Industry certifications in cloud or big data technologies.
Job Title: Data Engineer- AI trainer
Job Type: Contract (full-time or part-time)
Location: UK, Remote
Job Summary:
Join our customer’s team as a Data Engineer- AI trainer, where you will play a pivotal role in shaping the next generation of AI systems through expert data engineering. As part of an innovative, remote-first environment, you will collaborate with cross-functional teams to build robust, scalable big data solutions and help train AI models for real-world impact.
Key Responsibilities:
• Design, develop, and optimize large-scale data pipelines using Hadoop, Spark, and related technologies.
• Build and maintain efficient data architectures to support AI model training and analytics.
• Integrate real-time data streams via Kafka and ensure high data quality and reliability.
• Leverage cloud platforms to deploy, orchestrate, and monitor distributed data processing workloads.
• Collaborate closely with data scientists and machine learning engineers to deliver seamless data solutions for AI initiatives.
• Document complex data workflows and provide clear training resources to empower team members.
• Champion best practices in data engineering, ensuring security, scalability, and performance.
Required Skills and Qualifications:
• BSc in Computer Science, Data Engineering, or related field.
• Proven expertise in big data technologies including Hadoop and Spark.
• Strong experience with Kafka for stream processing and integration.
• Solid background in data engineering with proficiency in building and scaling ETL pipelines.
• Hands-on experience working with leading cloud platforms (AWS, GCP, Azure, etc.).
• Exceptional written and verbal communication skills to articulate technical concepts with clarity.
• Proficient in scripting/programming languages (e.g., Python, Scala, or Java).
• Demonstrated ability to work independently in a remote collaboration environment.
Preferred Qualifications:
• Prior experience as an AI trainer or in AI/ML prompt engineering projects.
• Advanced degree in Computer Science, Data Engineering, or related field.
• Industry certifications in cloud or big data technologies.
