IT & Software

Databricks Data Engineer

NTT

London · Greater London · United Kingdom

Overview

As a Databricks Data Engineer within our Data & AI practice, you will design scalable data pipelines and optimize Lakehouse architectures to enable advanced analytics and AI use cases. You will work in a collaborative, client-facing environment to deliver robust ETL/ELT workflows, integrating real-time and batch data while ensuring governance and security. Your work supports data-driven decision making for clients and helps scale modern data ecosystems. This role offers the chance to shape data solutions for diverse industries and contribute to a growing, innovation-driven practice.

Responsibilities
  • Client engagement & delivery
  • Data pipeline development (batch and streaming)
  • Databricks & Lakehouse architectures
  • Data modelling & optimisation (Delta Lake, Medallion architecture)
  • Collaboration & best practices
  • Quality, governance & security
Key requirements
  • Proven data engineering experience on Databricks and cloud-native platforms
  • Strong client-facing collaboration
  • Hands-on expertise across ingestion, transformation, modelling, governance, and consumption
  • Strong problem-solving, analytical, and communication skills
  • Experience leading or mentoring engineering teams to deliver scalable data solutions
  • Collaborative
  • Analytical mindset
  • Strong communicator
  • Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow)
  • ETL/ELT tools (DBT, Matillion, Talend)
  • SQL and Python

Reference: WJ-747_30174070

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