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About the Role

We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines.

Responsibilities

Client Engagement & Delivery
Data Pipeline Development (Batch and Streaming)
Snowflake & Cloud Data Platforms
Data Architecture & Modelling
Collaboration & Best Practices
Quality, Governance & Security

Requirements

Proven experience in data engineering and pipeline development on Snowflake 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 Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
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).
Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
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.

Skills

Snowflake
Cloud-native data platforms
Data engineering
ETL/ELT pipelines
Data pipeline development
Data Architecture
Data Modelling
SQL
Python
AWS
Azure
GCP
DBT
Matillion
Talend
Star schemas
Data Vault
Kimball
Inmon
Data lake architectures
Spark
Hadoop
GitHub
Bitbucket
CI/CD pipelines
Data governance
Data security
Data compliance

Experience Level

Minimum 5–8 years in data engineering, data warehousing, or data architecture roles
At least 3+ years working with Snowflake

Education Level

University degree required
BSc/MSc in Computer Science, Data Engineering, or related field
Snowflake certifications (SnowPro Core, Advanced) highly desirable

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 also 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. Apply today.