About the Role
Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills?
You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role.
As a Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions.
Location / WFH:
There's a hybrid work from home model with two days a week in the London, City office (or at client site in London).
About you:
You are an experienced Data Engineer within financial services or consulting environments
You have expertise with AWS including Lake formation and transformation layers
You have strong Python coding skills
You have experience with real-time data streaming using Kafka
You're collaborative and pragmatic with excellent communication and stakeholder management skills
You're comfortable taking ownership of projects and working end-to-end
You have a good knowledge of Distributed Systems and DevOps tooling
Ideally you will also have Databricks experience
Tech Stack
AWSPythonKafkadata pipeline designLake FormationDevOpsDatabricks