Databricks Data Engineer - nttlimited
OpenTalent
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
Your day at NTT DATA
We are seeking a highly skilled Databricks Data Engineer to join our Data & AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
Primary 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
Business Relationships
- Solution Architects
- Data Engineers, Developers, ML Engineers, and Analysts
- Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
Key Competencies
- Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.
- Strong consulting values with ability to collaborate effectively in client-facing environments.
- Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
- Strong problem-solving, analytical, and communication skills.
- Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.
Reference: WJ-766_21991179