Senior data engineer role (hybrid, Manchester) focused on designing Quantexa-based data pipelines and configuring/optimising Quantexa components, while leading client data engineering and integration projects. Core stack is Quantexa, Spark, Scala and Python (Databricks), with Senior Quantexa Data Engineer certification required.
In this role you will design and implement robust Quantexa-based data pipelines and configure Quantexa components to support client engagements. You will lead technical delivery on data engineering and integration projects for established clients, working with modern data tools to enable scalable solutions. The position sits within a global, prestigious tech brand that heavily invests in training and career progression. You will drive impact by delivering high-quality Quantexa solutions and guiding client delivery.
Pay / Benefits
Car
Pension
Benefits
Training and career development
Responsibilities
Design and implement robust data pipelines
Configure and optimize Quantexa components
Lead client data engineering or integration projects
Support and contribute to successful client engagements
Drive technical delivery and quality of Quantexa solutions
Key requirements
Certified Senior Quantexa Data Engineer
Significant experience designing and implementing Quantexa solutions
Experience leading client data engineering or integration projects
Strong knowledge of Spark, Scala and Python (Databricks)