NTT DATA Logo

NTT DATA

Snowflake Data Engineer

Posted 10 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Build, optimize, and maintain secure batch and streaming data pipelines using Snowflake and cloud platforms. Develop data models, support ingestion and transformation, apply governance and security practices, and collaborate with architects, engineers, analysts, and clients. The role also involves performance tuning, data solution delivery, technical leadership, mentoring engineers, and contributing reusable assets and best practices to the data engineering practice.
The summary above was generated by AI

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 optimizing 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.

Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise

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.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

NTT DATA London, England Office

, United Kingdom, London, United Kingdom, SW1E 5DH

NTT DATA London, England Office

London, United Kingdom

Similar Jobs

20 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Lead design, delivery and maintenance of on-prem and cloud market-data distribution systems (real-time, historical, AI/ML use cases). Collaborate with product/stakeholders, provide 3rd-level operational support, validate AI-assisted recommendations, ensure resiliency, security, auditability and strong process controls.
Top Skills: AmpsAthenaAWSAws GlueBloombergBloomberg BpipeC++DatabricksDatadogDynatraceEnterprise-Authorized AiFactsetItrs GeneosJavaKubernetesLake FormationLsegPythonRedlineS&PSnowflakeSolaceSQLTerraformTrepVela
18 Days Ago
In-Office
London, Greater London, England, GBR
Entry level
Entry level
Information Technology • Consulting
Build and optimize Snowflake data pipelines, models, and integrations using Python. Process telemetry, logs, and event data while supporting governance, access control, retention, evidence-grade data products, and reporting. The role operates within an engineering consultancy focused on cloud platforms, quality engineering, developer experience, AI, security, and scalable systems.
Top Skills: PythonSnowflake
One Month Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Consulting
Lead hands-on delivery of production data platforms on Databricks or Snowflake, build reliable ingestion pipelines and data models, mentor junior engineers, integrate LLM/AI where appropriate, ensure production reliability and compliance, and support pre-sales technical sizing and proposals.
Top Skills: AWSAzureCortexData Vault 2.0DatabricksDbtEltGCPIacIpaasKimball DimensionalLlmMosaic AiOrchestrationPysparkPythonSnowflakeSnowparkSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account