Senior Quantexa Data Engineer – London / Hybrid
Summary
Lead the technical development of Quantexa-based data solutions for clients: design and implement robust data pipelines, configure and optimise Quantexa components, and drive client engagements. Core stack is Quantexa plus Spark, Scala and Python in Databricks, with DevOps/CI-CD exposure. Hybrid role based in London.
In this role you will lead the technical development of Quantexa-based data solutions for demanding clients. You will design and implement robust data pipelines, configure Quantexa components, and support client engagements to ensure successful outcomes. The position requires strong data engineering and platform knowledge, with exposure to DevOps practices where available. You will join a prestigious brand that prioritizes training and career progression, offering meaningful impact and growth. This is a hybrid London role with opportunity to shape complex data initiatives at scale.
Pay / Benefits- Car
- Pension
- Benefits
- Salary plus bonus
- Lead the development of Quantexa-based data solutions for clients
- Design and implement robust data pipelines and data flows
- Configure and optimise Quantexa components in client projects
- Support and drive client engagements and data integration efforts
- Guide and contribute to technical delivery in client-facing environments
- Certified Senior Quantexa Data Engineer
- Experience designing and implementing Quantexa solutions
- Led client data engineering or integration projects for established clients
- Strong knowledge of Spark, Scala and Python within Databricks
- Experience with DevOps/CI/CD pipelines; Jenkins, GitHub Actions, or Azure DevOps beneficial
- Familiarity with Docker and Kubernetes; training available
- leadership
- stakeholder management
- problem solving
- Quantexa
- Spark
- Scala