Databricks Data Engineer
Posted
Overview
As a Databricks Data Engineer within NTT DATA's Data & AI practice, you design scalable data pipelines and optimise Lakehouse architectures to enable advanced analytics and AI on Databricks. You’ll work closely with clients to deliver robust data products, balancing governance, security, and performance. This role blends hands-on engineering with client engagement to drive data-driven decision making. You join a collaborative, growth-focused environment that values innovation and societal impact.
Responsibilities- Client engagement and delivery
- Data pipeline development (batch and streaming)
- Databricks and Lakehouse architectures
- Data modelling and optimisation (Delta Lake, medallion architecture)
- Collaboration and best practices
- Quality, governance and security
- Proven data engineering and pipeline development experience on Databricks and cloud-native platforms
- Strong consulting values with client-facing collaboration
- Hands-on experience across ingestion, transformation, modelling, governance, and consumption
- Strong problem-solving, analytical and communication skills
- Experience leading or mentoring engineers to deliver scalable data solutions
- Client-facing collaboration
- Strong communication
- Problem-solving
- Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow)
- ETL/ELT tools (DBT, Matillion, Talend)
- SQL and Python skills