Senior Data Engineer - Azure & Snowflake Enterprise Data Platform

Prism Digital United Kingdom
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and deliver long-term, enterprise-grade data platforms for complex, multi-line organizations. Build modern cloud-based solutions for analytics, reporting, and business intelligence. Work with stakeholders to translate requirements into robust data solutions.

Key Highlights
Design and build scalable data pipelines in Azure and Snowflake
Develop and optimize ETL and ELT processes
Partner with BI teams to support dashboards and reporting tools
Key Responsibilities
Design, build, and maintain scalable data pipelines in Azure and Snowflake
Develop and optimize ETL and ELT processes for batch and micro-batch workloads
Build and enhance enterprise data warehouse models
Write and optimize complex SQL queries for analytics and reporting
Ensure data quality, reconciliation, and consistency across multiple sources
Partner with BI teams to support dashboards and reporting tools
Contribute to platform architecture decisions
Continuously improve reliability, scalability, and performance
Technical Skills Required
Azure Data Factory Azure SQL Azure Storage Azure Functions Snowflake SQL ETL ELT Databricks
Benefits & Perks
£120,000 base salary + bonus
Pension
Life assurance
Private healthcare and wellness allowance
25 days holiday plus bank holidays
Funded certifications and learning platforms
Corporate equipment provided
Hybrid working
Visa sponsorship and relocation support
Nice to Have
Snowflake performance tuning and cost optimization
Python

Job Description


Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management


Salary: £120,000

Location: Central London, 3 to 4 days onsite


You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across complex, multi-line organizations.


This is a high-impact role within a growing data engineering practice, focused on building modern cloud-based solutions that power analytics, reporting, and business intelligence at scale for enterprise clients.


The Role

You will design, build, and optimise a scalable, cloud-native data platform that acts as the foundation for business-critical insight.

You will work closely with stakeholders across the business, translating requirements into robust, production-grade data solutions. This is a hands-on engineering role where you will take ownership of pipelines, models, and performance.


In this role, you will:

  • Design, build, and maintain scalable data pipelines in Azure and Snowflake
  • Develop and optimise ETL and ELT processes for batch and micro-batch workloads
  • Build and enhance enterprise data warehouse models
  • Write and optimise complex SQL queries for analytics and reporting
  • Ensure data quality, reconciliation, and consistency across multiple sources
  • Partner with BI teams to support dashboards and reporting tools
  • Contribute to platform architecture decisions
  • Continuously improve reliability, scalability, and performance


You will be expected to work from the Central London office three to four days per week to enable close collaboration with technical and business stakeholders.


Requirements & Technical Environment

  • 7+ years software engineering experience, including 5+ years with data-intensive systems
  • 2+ years hands-on experience with cloud data platforms (Azure preferred)
  • Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year)
  • Advanced SQL skills, including complex ETL and dimensional/data modeling
  • Experience building batch and micro-batch data pipelines
  • Deep understanding of enterprise data warehouse architecture and methodologies
  • Experience working with large-scale enterprise datasets
  • Strong analytical mindset with a focus on data quality


Nice to Haves

  • Snowflake performance tuning and cost optimisation
  • Python
  • Databricks
  • End-to-end data platform architecture
  • Enterprise BI platforms
  • CI/CD pipelines
  • Infrastructure-as-Code


Employee Benefits

  • £120,000 base salary + bonus
  • Pension, life assurance, private healthcare and wellness allowance
  • 25 days holiday plus bank holidays
  • Funded certifications and learning platforms
  • Corporate equipment provided
  • Hybrid working
  • Visa sponsorship and relocation support


Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management


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