Platform Engineer
Listed on 2026-10-11
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role
Title:
Platform Engineer
Location:
Glasgow (2-3 WFO)
Duration: 31/12/2026
Rate: £375 per day(PAYE through FCSA Umbrella)
RoleDescription:
As the Sr. Cloud Data Platform Engineer you will be key member in a cross-functional team developing products, API's and pipelines for enabling a modern and well-equipped Data Engineering landscape for our customers, where security, governance and controls are at the forefront for rapid data product development. You will be responsible for the development of distributed systems, infrastructure and API's/Pipelines to ensure that our data engineering platforms are performant, scalable and robust.
KeyAccountabilities
- Design and implement infrastructure to support data engineering roadmaps.
- Develop and deploy enterprise-ready products and API's.
Support the Lead Engineer in engaging with Senior Stakeholders in Data Engineering usecase and customer groups. The role will require collaboration with architects and engineers of all levels in multiple teams across the bank, as well as security and infrastructure teams.
Decision-making and Problem SolvingThis is a hands-on technical role and requires adaptable thinking and a commitment to stay up to date with the latest technology and provide solutions that work at enterprise-scale.
Risk and Control ObjectiveTake ownership for managing risk and strengthening controls in relation to the work you do.
Person SpecificationAn experienced Cloud Data Engineer with a passion for developing data platforms/products. You are a collaborative team player who likes to get hands-on in the development of technical products. As a dedicated professional you will stay up to date with the latest technologies to help your team make the best technical decisions.
Essential Skills/Basic Qualifications:
- Bachelor's in Computer Science, related fields, or equivalent experience.
- Proficiency in one of the programming languages
- Python, Spark, and IaC ( Terraform/Cloud Formation ). - - Proven Experience Distributed Systems, Data Engineering Products/Platforms like Snowflake/Databricks, Spark, Airflow, DBT etc.
- Cloud platforms experience (AWS).
- Dev Ops practices
- Git Ops, Terraform, Kubernetes.
Preferred Qualifications:
- Strong evidence of Data Engineering work.
- - Experience with Snowflake/Databricks, Airflow, Docker, Kubernetes, understanding of Data products, data strategy data pipelines.
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