Senior Quantexa Data Engineer – London / Hybrid
Summary
Senior data engineer at a consultancy designing robust data pipelines and configuring Quantexa components for client engagements, leading data engineering and integration projects in a hybrid London setting. Core stack is Quantexa with Spark, Scala and Python (Databricks), plus CI/CD and container tooling.
In this role you will design and implement robust data pipelines and configure Quantexa components for client engagements. You will lead the technical development of Quantexa-based solutions and guide data engineering or integration projects for established clients. You will work with the core tech stack to deliver scalable data solutions and support client success. This is a growth-focused opportunity within a prestigious brand that invests in training and career progression. You will operate in a hybrid London setting, contributing to high-impact data initiatives.
Pay / Benefits- Car
- Pension
- Benefits
- Design and implement robust data pipelines
- Configure Quantexa components for deployments
- Lead client data engineering or integration projects
- Support overall client engagements and technical delivery
- Collaborate with cross-functional teams to drive data solutions
- Significant experience designing and implementing Quantexa solutions
- Experience leading client data engineering or integration projects
- Strong knowledge of Spark, Scala and Python (Databricks)
- Familiarity with DevOps/CI/CD pipelines; Jenkins, GitHub Actions, or Azure DevOps is beneficial
- Knowledge of Docker and Kubernetes is a plus
- Certified Senior Quantexa Data Engineer
- Unknown degree requirements
- Leadership
- Client-facing communication
- Problem-solving
- Quantexa
- Spark
- Scala