GIOS Technology
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a hybrid contract in Manchester, requiring strong data engineering experience, proficiency in AWS services, SQL, and programming (Python/PySpark/Scala). A degree in a related field and AWS certifications are preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
376
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🗓️ - Date
June 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #DevOps #Computer Science #Data Engineering #S3 (Amazon Simple Storage Service) #Programming #Scala #Version Control #Python #Redshift #Terraform #Infrastructure as Code (IaC) #GIT #Data Quality #SQL (Structured Query Language) #Spark (Apache Spark) #Cloud #PySpark #AWS (Amazon Web Services)
Role description
I am hiring for AWS Data Engineer
Location: Manchester - Hybrid / 2-3 days per week in Office
• Strong commercial experience in data engineering and software development.
• Hands-on experience with AWS data services, including S3, Glue, Redshift, or equivalent cloud-based technologies.
• Proficiency in SQL and at least one programming language such as Python, PySpark, or Scala.
• Experience with Terraform and Infrastructure as Code (IaC) practices.
• Strong knowledge of Git version control and collaborative development workflows.
• Solid understanding of modern data pipeline architecture and implementation.
• Experience with data quality validation, testing, and assurance practices.
Qualifications
• Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline; or equivalent practical experience.
• Professional certifications in AWS, cloud platforms, DevOps, or related technologies are advantageous.
Key Skills: Python / AWS / IAC / Data Quality / Data Pipeline / S3 / Glue / Redshift / Scala
I am hiring for AWS Data Engineer
Location: Manchester - Hybrid / 2-3 days per week in Office
• Strong commercial experience in data engineering and software development.
• Hands-on experience with AWS data services, including S3, Glue, Redshift, or equivalent cloud-based technologies.
• Proficiency in SQL and at least one programming language such as Python, PySpark, or Scala.
• Experience with Terraform and Infrastructure as Code (IaC) practices.
• Strong knowledge of Git version control and collaborative development workflows.
• Solid understanding of modern data pipeline architecture and implementation.
• Experience with data quality validation, testing, and assurance practices.
Qualifications
• Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline; or equivalent practical experience.
• Professional certifications in AWS, cloud platforms, DevOps, or related technologies are advantageous.
Key Skills: Python / AWS / IAC / Data Quality / Data Pipeline / S3 / Glue / Redshift / Scala
