
Data Analyst | $60/hr Remote
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Associate
Salary:$62,400 - $124,800
Skills:
HADOOPSPARKKAFKAETLAWSGCPAZUREPYTHONSCALAJAVA
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Job Description
Posted on: February 3, 2026
Position: Data Engineer – AI Trainer
Type: Hourly contract
**Compensation: $**30-$60/hr
Location: Remote
Commitment: 10 to 40 hours per week
Role Responsibilities
- Design, develop, and optimize large scale data pipelines using Hadoop, Spark, and related big data technologies.
- Build and maintain scalable data architectures that support AI model training and analytics workloads.
- Integrate and manage real time data streams using Kafka, ensuring data reliability and quality.
- Deploy, orchestrate, and monitor distributed data processing systems on cloud platforms.
- Collaborate closely with data scientists and machine learning engineers to enable AI and LLM initiatives.
- Document complex data workflows and create clear training materials for technical teams.
- Enforce best practices across data engineering, including performance optimization, security, and scalability.
- Support AI and generative AI use cases through high quality data curation and pipeline design.
Requirements
- BSc in Computer Science, Data Engineering, or a closely related field.
- Strong hands on experience with big data technologies including Hadoop and Spark.
- Proven expertise using Kafka for real time data streaming and integration.
- Solid background in data engineering with experience building and scaling ETL pipelines.
- Practical experience working with major cloud platforms such as AWS, GCP, or Azure.
- Proficiency in programming or scripting languages such as Python, Scala, or Java.
- Excellent written and verbal communication skills with the ability to explain complex technical concepts.
- Strong problem solving and troubleshooting skills in distributed systems.
- Ability to work independently in a fully remote, collaborative environment.
Application Process (Takes 20 Min)
- Upload resume
- Interview (15 min)
- Submit form
Originally posted on LinkedIn
Apply now
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