Data Engineer - AWS experience - Outside IR35 - Liverpool Based

Data Engineer - AWS experience - Outside IR35 - Liverpool Based

Posted 3 days ago by Gigged.AI

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Negotiable
Outside
Undetermined
Liverpool, England, United Kingdom
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Amazon Athena Amazon Redshift Amazon S3 Amazon Web Services (AWS) AWS Lambda Cloud Computing Cloud Technology Data-Driven Decision-Making Datamodel Data Modeling Data Pipeline Data Quality Data Transformation EFTPOS Forecasting Microsoft Azure Performance Tuning Python (Programming Language) SIPOC Process SQL (Programming Language) Stakeholder Management Terraform

Summary: The role of Data Engineer at Gigged.AI focuses on leveraging AWS data services, particularly Amazon Redshift, to enhance retail data platform initiatives. This position is essential for facilitating data-driven decision-making across various retail operations. Candidates should possess strong technical skills in data pipeline design and data modeling, with a preference for those experienced in hybrid cloud environments.

Key Responsibilities:

  • Design and maintain scalable, high-performance data pipelines using AWS services to support retail analytics and operations.
  • Develop and optimise data models and queries in Amazon Redshift for use cases such as inventory forecasting, retail operations, and sales performance plus others.
  • Collaborate with data analysts, reporting engineers, 3rd Party Suppliers, and business stakeholders to deliver clean, reliable datasets.
  • Integrate data from POS systems, Warehouse applications, ERP, and third-party retail data sources.
  • Implement data quality checks, monitoring, and governance aligned with retail compliance standards.
  • Assistance in the design of best practices in a modern data eco-system and support the delivery of the Data roadmap.

Key Skills:

  • Strong hands-on experience with AWS data services, including Amazon Redshift, AWS S3, Lambda, Athena, Step Functions, Glue.
  • Proficiency in SQL and Python for data transformation and orchestration.
  • Experience with data modeling and performance tuning in large-scale retail environments.
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Exposure to Azure data tools (e.g., Data Factory, Synapse, Data Lake) is a plus.
  • Strong understanding of retail data domains such as product hierarchy, promotions, customer loyalty, and supply chain.

Salary (Rate): undetermined

City: Liverpool

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Gigged.AI is a freelance talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment with one of our clients for a Data Engineer with deep expertise in AWS data services If interested then you must submit a proposal through the Gigged.AI website for this gig. You can do so here - https://app.gigged.ai/

Project Overview:

Role Overview:

We are seeking a Contract Data Engineer with deep expertise in AWS data services - particularly Amazon Redshift - to support our retail data platform initiatives. This role is critical in enabling data-driven decision-making across merchandising, supply chain, trading and retail operations. Experience with Azure is a plus, especially in hybrid cloud environments.

Key Responsibilities:

  • Design and maintain scalable, high-performance data pipelines using AWS services to support retail analytics and operations.
  • Develop and optimise data models and queries in Amazon Redshift for use cases such as inventory forecasting, retail operations, and sales performance plus others.
  • Collaborate with data analysts, reporting engineers, 3 rd Party Suppliers, and business stakeholders to deliver clean, reliable datasets.
  • Integrate data from POS systems, Warehouse applications, ERP, and third-party retail data sources.
  • Implement data quality checks, monitoring, and governance aligned with retail compliance standards.
  • Assistance in the design of best practices in a modern data eco-system and support the delivery of the Data roadmap.

Mandatory Skills and Experience:

  • Strong hands-on experience with AWS data services, including:
    • Amazon Redshift
    • AWS S3 , Lambda, Athena, Step Functions, Glue
  • Proficiency in SQL and Python for data transformation and orchestration.
  • Experience with data modeling and performance tuning in large-scale retail environments.
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Exposure to Azure data tools (e.g., Data Factory, Synapse, Data Lake) is a plus.
  • Strong understanding of retail data domains such as product hierarchy, promotions, customer loyalty, and supply chain.
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