Data Engineer

Data Freelance Hub; Remote; GBP 60,000 - GBP 80,000; Part time

Job summary

A technology company is seeking a Data Engineer – AI Trainer to design and optimize large-scale data pipelines. This remote role offers $60 per hour for 10 to 40 hours per week. Candidates must have a BSc in a related field and expertise in Hadoop, Spark, and Kafka. Responsibilities include building scalable data architectures for AI initiatives, integrating real-time data streams, and collaborating with technical teams. Excellent communication skills are essential for this role.

Qualifications

• 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.

Responsibilities

• Design, develop, and optimize large-scale data pipelines using Hadoop and Spark.
• Build and maintain scalable data architectures supporting AI model training.
• Integrate and manage real-time data streams using Kafka.

Skills

Hadoop

Spark

Kafka

Cloud platforms

Python

Scala

Java

Education

BSc in Computer Science, Data Engineering, or a related field

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for a Data Engineer – AI Trainer, offering $60/hr on a remote, hourly contract for 10 to 40 hours per week. Key skills include Hadoop, Spark, Kafka, and cloud platforms. A BSc in a related field is required.

United Kingdom

$ USD

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

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