Snowflake Data Engineer

Company: NTT DATA
Apply for the Snowflake Data Engineer
Location: London
Job Description:

Overview

As a Snowflake Data Engineer within our Data & AI practice, you build and optimise cloud-native data ecosystems that enable data-driven decision making and advanced analytics. You will collaborate with architects, developers, and analysts to deliver secure, high-performing pipelines on Snowflake and related platforms. The role combines hands-on engineering with client-facing delivery, driving innovation and scalable data solutions. You’ll contribute to reusable assets and AI-ready data capabilities that scale with our clients’ needs.

Pay / Benefits

  • flexible work options
  • learning and development opportunities
  • wellbeing benefits
  • career growth
  • diversity and inclusion initiatives
  • competitive compensation

Responsibilities

  • Client engagement & delivery across data projects
  • Developing data pipelines (batch and streaming)
  • Managing Snowflake & cloud data platforms
  • Data architecture & modelling
  • Promoting collaboration & best practices
  • Ensuring quality, governance & security of data solutions

Key requirements

  • Proven data engineering experience on Snowflake and cloud-native platforms
  • Strong consulting and client-facing collaboration
  • Hands-on data lifecycle expertise: ingestion, transformation, modelling, governance, consumption
  • Excellent problem-solving, analytical, and communication skills
  • Experience leading or mentoring engineering teams for scalable solutions
  • Deep Snowflake knowledge (warehouses, Snowpark, data sharing, performance tuning)
  • Proficiency in ETL/ELT tools (DBT, Matillion, Talend)
  • Strong SQL and Python
  • Cloud platform experience (AWS, Azure, GCP)
  • Knowledge of data modelling methodologies (Star/Kimball/Data Vault)
  • Familiarity with data lake architectures and Spark/Hadoop
  • Experience with GitHub/Bitbucket and CI/CD
  • Understanding of data governance, security, compliance
  • Exposure to AI/ML workloads desirable
  • Client-facing communication
  • Collaboration
  • Problem-solving
  • Snowflake features: warehouses, Snowpark, data sharing, performance tuning
  • DBT, Matillion, Talend or equivalent
  • SQL and Python

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Posted: September 30th, 2026