Databricks Data Engineer – Hybrid London, AI & Lakehouse

Tenth Revolution Group; Greater London; Hybrid; GBP 48,000 - 80,000; Full time

Benefits offered by this job

Annual performance bonus

Flexible benefits package

Job summary

Databricks is hiring a Data Engineer in London (Hybrid) to join a growing Data & AI practice. You will design and implement Databricks Lakehouse solutions, develop data pipelines using PySpark, and work directly with clients to define architectures and deliver end-to-end projects.

The role emphasizes cutting-edge data platforms, AI readiness, and strong collaboration with architects and data scientists. The opportunity includes exposure to enterprise-scale implementations and a clear career

Qualifications

• Commercial data engineering experience in cloud environments.
• Strong Databricks expertise with Delta Lake and Lakehouse patterns.
• Experience delivering Databricks solutions in consultancy or industry environments.

Responsibilities

• Design and build enterprise-scale Databricks Lakehouse solutions.
• Develop high-performance batch and streaming pipelines using PySpark and Spark SQL.
• Collaborate with clients to gather requirements and define solution architectures.
• Deliver end-to-end data engineering projects from design to production deployment.
• Optimise data platforms for performance, scalability and cost efficiency.
• Support advanced analytics and AI initiatives with data foundations.

Skills

Databricks expertise

Python/Scala

SQL proficiency

CI/CD

Cloud data engineering

Tools

Azure Data Factory

Airflow

Databricks Workflows

Terraform

Docker

Kubernetes

MLflow

Job description

Databricks is hiring a Data Engineer in London (Hybrid) to join a growing Data & AI practice. You will design and implement Databricks Lakehouse solutions, develop data pipelines using PySpark, and work directly with clients to define architectures and deliver end-to-end projects.

The role emphasizes cutting-edge data platforms, AI readiness, and strong collaboration with architects and data scientists. The opportunity includes exposure to enterprise-scale implementations and a clear career