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
- 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
- Solution Architects
- Data Engineers, Developers, ML Engineers, and Analysts
- Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
To thrive in this role, you need to have:
- 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.
- Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).
- Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
- Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
- Hands-on experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with Databricks Workflows and other orchestration tools.
- Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
- Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
- Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
- Understanding of data governance, security, and compliance frameworks.
- Exposure to AI/ML workloads desirable.
- Experience: Minimum 5-8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
- Education: University degree required.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
- Databricks certifications (Data Engineer Professional) highly desirable.
- Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
- High client satisfaction and successful adoption of Databricks-based solutions.
- Demonstrated ability to innovate and improve data engineering practices.
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Databricks Lead Engineer - NTT DATA employer: OpenTalent
At TwinStream, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid working model in Cheltenham allows for flexibility while providing ample opportunities for professional growth and development within the tech sector. With a focus on meaningful projects that support government organisations, employees can find purpose in their work while enjoying competitive benefits and a supportive team environment.
