Senior Data Engineer (Azure)

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Client

Our client is the one of leaders in alternative asset management on the European market.

Project overview

The project focuses on building a modern, enterprise‑grade data platform that serves as a core foundation for data‑driven decision‑making across multiple lines of business.

Position overview

We are seeking an experienced Senior Data Engineer to join a high‑performing data team working on a large‑scale, cloud‑based platform. In this role, you will design, build, and maintain robust data pipelines and data warehousing solutions that enable 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.

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

Requirements

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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