

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with strong AWS experience, offering a competitive day rate in London (Hybrid). Key skills include AWS (Glue, S3, Redshift), SQL, Python, and modern data tools (dbt, Airflow, Terraform). Consultancy experience preferred.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
September 19, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Architecture #Lambda (AWS Lambda) #Data Engineering #AWS Glue #Airflow #Scala #Terraform #Redshift #dbt (data build tool) #DevOps #AWS (Amazon Web Services) #Python #Security #Snowflake #Data Pipeline
Role description
Location: London (Hybrid β 2β3 days onsite)
Type: Contract or Permanent
Competitive Day Rate / Salary
About the Role
Weβre looking for a Data Engineer with strong AWS experience to join a growing consultancy team. This is an exciting opportunity to work on high-impact projects with leading clients across industries, helping them design and deliver modern, scalable data solutions.
Youβll play a hands-on role in building data pipelines, optimising data platforms, and enabling advanced analytics and AI use cases.
What Youβll Do
β’ Design, build, and maintain data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift/Snowflake).
β’ Collaborate with data architects, analysts, and business stakeholders to deliver fit-for-purpose solutions.
β’ Implement best practices in data modelling, quality, and security.
β’ Work on end-to-end consultancy projects, from discovery through to delivery.
β’ Support the adoption of modern tooling (dbt, Airflow, Terraform) and DevOps ways of working.
What Weβre Looking For
Strong hands-on AWS data engineering experience (Glue, S3, Redshift, Lambda, Step Functions, etc.)
Solid background in SQL and Python
Experience with modern data stack (dbt, Airflow, Terraform, CI/CD pipelines)
Strong stakeholder communication β able to translate technical into business value
Consultancy or client-facing experience (preferred, not essential)
Why Join?
Opportunity to work on varied projects across industries
Modern tech stack β AWS, dbt, Snowflake, Terraform
Collaborative consultancy culture β knowledge sharing, growth, and autonomy
Competitive pay and long-term career progression
Interested?
Apply here on LinkedIn or reach out directly to discuss the role in more detail.
Location: London (Hybrid β 2β3 days onsite)
Type: Contract or Permanent
Competitive Day Rate / Salary
About the Role
Weβre looking for a Data Engineer with strong AWS experience to join a growing consultancy team. This is an exciting opportunity to work on high-impact projects with leading clients across industries, helping them design and deliver modern, scalable data solutions.
Youβll play a hands-on role in building data pipelines, optimising data platforms, and enabling advanced analytics and AI use cases.
What Youβll Do
β’ Design, build, and maintain data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift/Snowflake).
β’ Collaborate with data architects, analysts, and business stakeholders to deliver fit-for-purpose solutions.
β’ Implement best practices in data modelling, quality, and security.
β’ Work on end-to-end consultancy projects, from discovery through to delivery.
β’ Support the adoption of modern tooling (dbt, Airflow, Terraform) and DevOps ways of working.
What Weβre Looking For
Strong hands-on AWS data engineering experience (Glue, S3, Redshift, Lambda, Step Functions, etc.)
Solid background in SQL and Python
Experience with modern data stack (dbt, Airflow, Terraform, CI/CD pipelines)
Strong stakeholder communication β able to translate technical into business value
Consultancy or client-facing experience (preferred, not essential)
Why Join?
Opportunity to work on varied projects across industries
Modern tech stack β AWS, dbt, Snowflake, Terraform
Collaborative consultancy culture β knowledge sharing, growth, and autonomy
Competitive pay and long-term career progression
Interested?
Apply here on LinkedIn or reach out directly to discuss the role in more detail.