Senior Quantexa Data Engineer – London / Hybrid
Hybrid London role designing and delivering Quantexa-based data solutions: building robust data pipelines, configuring Quantexa components, and leading client data engineering and integration projects using Spark, Scala and Python Databricks, with DevOps/CI/CD experience a plus.
- Compensation
- £60K–£80K / yr
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Certified Senior Quantexa Data Engineer with experience designing and implementing Quantexa solutions
- Experience leading client data engineering or integration projects
- Strong knowledge of Spark, Scala and Python Databricks
- Leadership
- Excellent communication
- Client-focused collaboration
Nice to have
- Experience with DevOps and CI/CD pipelines
Full description
Overview
In London, you will design and deliver Quantexa-based data solutions, building robust data pipelines and configuring Quantexa components. You will lead client data engineering engagements and collaborate with cross-functional teams to ensure successful outcomes. This role combines hands-on technical work with leadership in complex data projects for a prestigious global tech brand. You’ll benefit from extensive training and clear career progression as you shape scalable data solutions.
Pay / Benefits
- Car
- Pension
- Benefits
- Salary 60k-80k
- Hybrid London
- Training and career development
Responsibilities
- design and implement robust data pipelines
- configure Quantexa components for client engagements
- lead client data engineering or integration projects
- support the success of client engagements
- work with Spark, Scala and Python Databricks
- familiarity with DevOps and CI/CD pipelines is beneficial
Key requirements
- Certified Senior Quantexa Data Engineer with experience designing and implementing Quantexa solutions
- lead client data engineering or integration projects for established clients
- strong knowledge of Spark, Scala and Python Databricks
- experience with DevOps and CI/CD pipelines is beneficial
- leadership
- excellent communication
- client-focused collaboration
- Quantexa
- Spark
- Scala