Snowflake Data Engineer

Salary: £63,000 - 103,000 per year

Requirements:

• Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
• Strong consulting values with the ability to collaborate effectively in client-facing environments.
• Hands-on expertise across the data lifecycle, including 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, including warehouses, Snowpark, data sharing, and 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 such as AWS, Azure, or GCP.
• Knowledge of data modelling methodologies such as star schemas, Data Vault, Kimball, or Inmon.
• Familiarity with data lake architectures and distributed processing frameworks such as Spark or Hadoop.
• Experience with version control tools such as GitHub or Bitbucket and CI/CD pipelines.
• Understanding of data governance, security, and compliance frameworks.
• Exposure to AI/ML workloads is desirable.
• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
• University degree required.
• Preferred BSc/MSc in Computer Science, Data Engineering, or a related field.
• Snowflake certifications such as SnowPro Core or Advanced are highly desirable.

Responsibilities:

• Engage with clients to deliver data engineering solutions aligned to their requirements.
• Develop batch and streaming data pipelines.
• Work with Snowflake and cloud data platforms to build and optimize modern data ecosystems.
• Design and implement data architecture and modelling solutions.
• Collaborate with solution architects, data engineers, developers, ML engineers, analysts, and client stakeholders.
• Apply best practices for collaboration, delivery, quality, governance, and security.
• Build secure and high-performing data pipelines.
• Support the growth of the practice through reusable assets, accelerators, and technical leadership.

Technologies:

• 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. Our Data & AI practice is seeking an accomplished and detail-oriented Snowflake Data Engineer to help build and optimize modern data ecosystems for our clients. We are committed to technical excellence, responsible innovation, diversity, and inclusion, and we offer a collaborative environment where you can grow, belong, and thrive. This role supports future opportunities across the UK and is intended to identify candidates in advance of specific vacancies becoming available. We are a Global Top Employer with experts in more than 70 countries and access to a strong ecosystem of innovation centers and partners.

last updated 36 week of 2026