Snowflake Data Engineer

Salary: £41,000 - 81,000 per year

• We need proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
• We need strong consulting values and the ability to collaborate effectively in client-facing environments.
• We need hands-on expertise across the data lifecycle, including ingestion, transformation, modelling, governance, and consumption.
• We need strong problem-solving, analytical, and communication skills.
• We need experience leading or mentoring teams of engineers to deliver high-quality, scalable data solutions.
• We need deep expertise with Snowflake features, including warehouses, Snowpark, data sharing, and performance tuning.
• We need proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
• We need strong SQL and Python, or equivalent language, skills for data manipulation and automation.
• We need hands-on experience with cloud platforms such as AWS, Azure, and GCP.
• We need knowledge of data modelling methodologies such as star schemas, Data Vault, Kimball, and Inmon.
• We need familiarity with data lake architectures and distributed processing frameworks such as Spark and Hadoop.
• We need experience with version control tools such as GitHub and Bitbucket, and CI/CD pipelines.
• We need understanding of data governance, security, and compliance frameworks.
• Exposure to AI/ML workloads is desirable.
• We need 5–8 years of experience in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
• We require a university degree.
• A BSc or MSc in Computer Science, Data Engineering, or a related field is preferred.
• Snowflake certifications such as SnowPro Core and Advanced are highly desirable.

• We engage with clients to deliver data solutions.
• We develop data pipelines for batch and streaming use cases.
• We work with Snowflake and cloud data platforms to build and optimize modern data ecosystems.
• We design and implement data architecture and modelling solutions.
• We collaborate with architects, developers, analysts, and other stakeholders.
• We follow best practices for delivery, governance, quality, and security.
• We help ensure secure, high-performing, and scalable data pipelines aligned to client requirements.
• We contribute reusable assets, accelerators, and technical leadership to grow the practice.
• We support innovation and continuous improvement in data engineering practices.

• AI
• AWS
• Azure
• BitBucket
• CI/CD
• Cloud
• Data Vault
• ETL
• GCP
• GitHub
• Hadoop
• Support
• Python
• SQL
• Security
• Snowflake
• Spark
• Talend
• dbt
• Architect

More:

We are NTT DATA, 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 a global provider of AI and digital infrastructure services with capabilities across enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and industry solutions help organizations move confidently and sustainably into the digital future. We are a Global Top Employer with experts in more than 70 countries and access to a strong ecosystem of innovation centers and established and start-up partners. This is a full-time role based in London, United Kingdom, and it is intended to identify and engage candidates for future opportunities across the UK.

last updated 36 week of 2026