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