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About the Role
Make an impact with NTT DATA, a company renowned for technical excellence and leading innovations. We are committed to accelerating client success and positively impacting society through responsible innovation. Our workplace embraces diversity and inclusion, offering a place to grow, belong, and thrive.
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
Requirements
- 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.
- Minimum 5–8 years in data engineering, data warehousing, or data architecture roles.
- At least 3+ years working with Databricks.
- University degree required.
- Databricks certifications (Data Engineer Professional) highly desirable.
Skills
- Databricks
- Spark
- PySpark
- Scala
- Delta Lake
- Unity Catalog
- MLflow
- DBT
- Matillion
- Talend
- SQL
- Python
- AWS
- Azure
- GCP
- Databricks Workflows
- Star schemas
- Data Vault
- Kimball
- Inmon
- Medallion architectures
- Data lakehouse principles
- Distributed data processing
- GitHub
- Bitbucket
- CI/CD pipelines
- Data governance
- Data security
- Compliance frameworks
- AI/ML workloads
Experience Level
- 5-8 years in data engineering, data warehousing, or data architecture roles
- 3+ years working with Databricks
Education Level
- University degree
- BSc/MSc in Computer Science, Data Engineering, or related field
- Databricks certifications (Data Engineer Professional)
About the Company
- NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100.
- We are committed to accelerating client success and positively impacting society through responsible innovation.
- We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.
- Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future.
- As a Global Top Employer, we have experts in more than 70 countries.
- We offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.
- NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity
- NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.
- We are committed to providing an environment free of unfair discrimination and harassment.
- We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.
- Join our growing global team and accelerate your career with us.