Data Engineer
Posted Today by Experis
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The role of Data Engineer involves joining a consultancy team to work on high-impact projects utilizing AWS technologies. The position requires hands-on experience in building data pipelines and optimizing data platforms to support advanced analytics and AI use cases. The successful candidate will collaborate with various stakeholders to deliver tailored data solutions and implement best practices in data management. This role offers opportunities for career progression within a collaborative environment.
Key Responsibilities:
- Design, build, and maintain data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift/Snowflake).
- Collaborate with data architects, analysts, and business stakeholders to deliver fit-for-purpose solutions.
- Implement best practices in data modelling, quality, and security.
- Work on end-to-end consultancy projects, from discovery through to delivery.
- Support the adoption of modern tooling (dbt, Airflow, Terraform) and DevOps ways of working.
Key Skills:
- 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 – able to translate technical into business value.
- Consultancy or client-facing experience (preferred, not essential).
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: London (Hybrid – 2–3 days onsite)
Type: Contract or Permanent
Competitive Day Rate / Salary
About the Role
We’re 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. You’ll play a hands-on role in building data pipelines, optimising data platforms, and enabling advanced analytics and AI use cases.
What You’ll Do
- Design, build, and maintain data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift/Snowflake).
- Collaborate with data architects, analysts, and business stakeholders to deliver fit-for-purpose solutions.
- Implement best practices in data modelling, quality, and security.
- Work on end-to-end consultancy projects, from discovery through to delivery.
- Support the adoption of modern tooling (dbt, Airflow, Terraform) and DevOps ways of working.
What We’re 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 – 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 – AWS, dbt, Snowflake, Terraform
- Collaborative consultancy culture – 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.