Overview

We are looking for an experienced Senior Data Engineer to join a high-performing data team working on large-scale, cloud-based data platform. You will play a key role in designing, building, and maintaining robust data pipelines and warehousing solutions that support analytics, reporting, and business intelligence initiatives. This role requires regular collaboration with stakeholders and on-site presence at the client’s Central London office 3–4 days per week. Client: Our client is one of the leading Europe’s alternative asset managers that provide effective capital solutions to meet needs of wide range of corporate and real asset owners. Project Overview: We are building a modern data platform that serves as a core enabler for data‑driven decision‑making across all lines of business.

Responsibilities:
  • Design, build, and maintain scalable data pipelines using Azure and Snowflake
  • Develop and optimize ETL / ELT processes for batch and micro-batch data workloads
  • Work with Azure Data Factory, Azure SQL, Azure Storage, and Azure Functions
  • Design and maintain data warehouse models (dimensions, facts, star/snowflake schemas)
  • Apply best practices in Kimball and Inmon data warehousing methodologies
  • Write, optimize, and maintain complex SQL queries supporting analytics and reporting
  • Ensure data quality, consistency, and reconciliation across multiple data sources
  • Collaborate with Business Intelligence teams to support dashboards and reporting tools
  • Participate in technical requirements gathering and solution design discussions
  • Contribute to data platform architecture design, including performance and infrastructure considerations
  • Troubleshoot issues and continuously improve system performance and reliability
Required Qualifications:
  • 7+ years of experience in software development
  • 5+ years of experience working with data-intensive systems
  • At least 2 years of hands-on experience with cloud-based data platforms (Azure preferred)
  • Strong hands-on experience with the Azure Data Platform, including: Azure Data Factory, Azure SQL, Azure Storage, Azure Functions
  • Strong SQL expertise, including data modeling and complex ETL-based SQL development
  • Proven experience building periodic and micro-batch pipelines
  • Solid understanding of data warehouse architecture and data loading strategies
  • 1+ year of hands-on experience with Snowflake
  • Strong analytical and problem-solving skills with a focus on data quality
  • Experience working with large datasets in enterprise environments
Nice To Have:
  • Advanced experience with Snowflake (performance tuning, optimization, cost management)
  • Proficiency in Python and/or Databricks
  • Experience designing end-to-end data platform architectures
  • Previous experience supporting enterprise BI platforms
  • Exposure to CI/CD pipelines and infrastructure-as-code concepts
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