Designs and implements Quantexa-based data pipelines and configures Quantexa components for client engagements, leading data engineering and integration projects for established clients. Core stack is Quantexa with Spark, Scala, and Python on Databricks, worked in a hybrid Manchester setup.
In this role you will design and implement robust Quantexa-based data pipelines and configure Quantexa components to support client engagements. You will lead data engineering projects for established clients, leveraging Spark, Scala and Python Databricks. The position blends hands-on delivery with guiding client solutions and showcases the prestige and training opportunities of a global technology leader. Hybrid work in Manchester complements a strong focus on career development and impact.
Pay / Benefits
Car
Pension
Benefits
Responsibilities
Design and build robust data pipelines
Configure Quantexa components for client deployments
Lead client data engineering or integration projects
Support overall success of client engagements
Key requirements
Certified Senior Quantexa Data Engineer
Significant experience designing and implementing Quantexa solutions
Leadership experience in client data engineering projects
Strong knowledge of Spark, Scala and Python Databricks
Experience with DevOps and CI/CD pipelines is beneficial