NTT Ltd.

Snowflake Data Engineer

NTT Ltd. London, England, United Kingdom

IT Services and IT Consulting · 10,001+ employees

Yesterday
data-engineer Senior (5-10 yrs) Full-time United Kingdom
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About the role

The role involves designing, implementing, and maintaining secure, high-performing data pipelines while collaborating with architects and analysts. You will be responsible for delivering scalable data solutions and driving innovation within the Data & AI practice.

What they look for

Snowflake Data Engineering ETL/ELT Cloud-native platforms SQL Python Data modelling Data pipelines AWS Azure GCP DBT Snowpark Data governance CI/CD Data architecture

Requirements

Candidates must have 5-8 years of experience in data engineering with at least 3 years specifically using Snowflake. A university degree is required, and proficiency in SQL, Python, and cloud-native data platforms is essential.

Full description

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 an accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. 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. 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) •    Snowflake & Cloud Data Platforms •    Data Architecture & Modelling •    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  

To thrive in this role, you need to have:

Key Competencies •    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.

Technical Expertise •    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.  Experience, Qualifications, and Education •    Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake. •    Education: University degree required. •    Preferred: BSc/MSc in Computer Science, Data Engineering, or related field •    Snowflake certifications (SnowPro Core, Advanced) highly desirable.

Measures of Success •    Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements. •    High client satisfaction and successful adoption of Snowflake-based solutions. •    Demonstrated ability to innovate and improve data engineering practices. •    Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.   

Workplace type:

About NTT DATA 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 Employer 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.

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