Databricks Data Engineer: Scalable Pipelines & Lakehouse

nttlimited; Greater London; On-site; GBP 75,000 - 120,000; Full time

Job summary

NTT DATA is seeking a highly skilled Databricks Data Engineer to join our Data & AI practice in London. You will design and build scalable data pipelines, optimize Lakehouse architectures, and enable advanced analytics and AI use cases on the Databricks platform.

You will work in a collaborative, client-facing environment to deliver robust, governed data products and pipelines. The role requires 5–8 years in data engineering with at least 3+ years on Databricks, a university degree, and strong

Qualifications

• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles.
• At least 3+ years working with Databricks.
• University degree required.

Responsibilities

• Client Engagement & Delivery on data projects.
• Data Pipeline Development (Batch and Streaming).
• Databricks & Lakehouse Architectures.
• Data Modelling & Optimisation (Delta Lake, Medallion).
• Collaboration & Best Practices.
• Quality, Governance & Security.

Skills

Databricks data engineering

Cloud platforms AWS Azure GCP

SQL

Python

Data modeling governance

Client-facing consulting

Team leadership mentoring

Education

University degree

BSc/MSc Data Engineering/CS

Databricks certifications

Tools

DBT

Matillion

Talend

GitHub

CI/CD pipelines

Job description

NTT DATA is seeking a highly skilled Databricks Data Engineer to join our Data & AI practice in London. You will design and build scalable data pipelines, optimize Lakehouse architectures, and enable advanced analytics and AI use cases on the Databricks platform.

You will work in a collaborative, client-facing environment to deliver robust, governed data products and pipelines. The role requires 5–8 years in data engineering with at least 3+ years on Databricks, a university degree, and strong