Snowflake Data Engineer

NTT
London
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5-8 yearsEducation: bachelorsSkills: ["Problem-solving","Analytical skills","Communication","Collaboration","Client-facing consulting"]

Build and optimise secure, high-performing Snowflake-based data ecosystems for clients. Develop batch and streaming ETL/ELT pipelines, design data architecture and modelling approaches, and ensure governance, security, and quality. Work closely with architects, developers, analysts, and client stakeholders (up to Head of Data Engineering and Chief Data Architect) while applying best practices and technical leadership to drive adoption and measurable success.

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FursaFursa
NTT
NTT
11 months ago

Snowflake Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and optimise secure, high-performing Snowflake-based data ecosystems for clients. Develop batch and streaming ETL/ELT pipelines, design data architecture and modelling approaches, and ensure governance, security, and quality. Work closely with architects, developers, analysts, and client stakeholders (up to Head of Data Engineering and Chief Data Architect) while applying best practices and technical leadership to drive adoption and measurable success.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Engage with clients to deliver Snowflake-focused data solutions and support adoption of delivered outcomes.
  • •Develop and optimise batch and streaming data pipelines across cloud-native platforms.
  • •Design and implement data architecture and modelling approaches for secure, scalable data ecosystems.
  • •Collaborate with architects, developers, ML engineers, analysts, and client stakeholders to ensure best practices.
  • •Maintain quality, governance, security, and compliance across the data lifecycle and solutions.

Pay and Benefits

Perks:Learning BudgetFlexible Work

Key Requirements

  • •Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, including 3+ years working with Snowflake.
  • •Strong hands-on expertise developing ETL/ELT pipelines and building cloud-native data platforms focused on Snowflake.
  • •Proficiency in Snowflake features including warehouses, Snowpark, data sharing, and performance tuning.
  • •Hands-on skills with ETL/ELT tools such as dbt, Matillion, Talend (or equivalent), plus strong SQL and Python (or equivalent).
  • •Experience with data governance, security, and compliance, and familiarity with data modelling methodologies (e.g., Kimball, Inmon, Data Vault, star schemas).
Experience:5-8 yearsData engineeringData warehousingCloud-native data platformsETL/ELTSnowflake
Education:Bachelor's in Computer Science, Data Engineering (preferred BSc/MSc)
Skills:Problem-solvingAnalytical skillsCommunicationCollaborationClient-facing consulting
Certifications:SnowPro CoreSnowPro Advanced
Tech Stack:SnowflakeSnowparkSQLPythonDbtMatillionTalendAWSAzureGCPSparkHadoopGitHubBitbucketCI/CDData sharing

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn