Senior Data Engineer (Azure)

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.

Position 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.

Technology stack

MS Azure, SQL, ADF, Python

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