AWS Data Engineer

AWS Data Engineer

Posted 5 days ago by GIOS Technology

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£47 Per hour
Undetermined
Hybrid
Manchester Area, United Kingdom
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Amazon Web Services (AWS) Cloud Computing Cloud Technologies Cloud Technology Computer Science Data Engineering Data Pipeline Data Quality DevOps Generic Programming Git (Version Control System) Information Technology Infrastructure as Code (IaC) Pyspark Python (Programming Language) Scala (Programming Language) Software Development Software Engineering SQL (Programming Language) Terraform Verification And Validation Version Control Workflows

Summary: The AWS Data Engineer role is based in Manchester and requires strong commercial experience in data engineering and software development. The position involves hands-on work with AWS data services and proficiency in SQL and programming languages such as Python or Scala. The candidate should also have experience with Infrastructure as Code practices and data pipeline architecture.

Key Responsibilities:

  • Develop and maintain data pipelines using AWS data services.
  • Implement Infrastructure as Code (IaC) practices with Terraform.
  • Ensure data quality validation, testing, and assurance.
  • Collaborate in a version-controlled environment using Git.
  • Work with modern data pipeline architecture and implementation.

Key Skills:

  • Proficiency in Python, SQL, and at least one programming language (e.g., PySpark, Scala).
  • Strong experience with AWS services (S3, Glue, Redshift).
  • Knowledge of Infrastructure as Code (IaC) practices.
  • Understanding of data quality and validation practices.
  • Experience with Git version control.

Salary (Rate): £47.00/hr

City: Manchester

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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

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