Senior Data Engineer – Python, Airflow, Pyspark, SQL

Overview

In this Senior Data Engineer role, you will lead the design and delivery of scalable data pipelines within a cloud-based SaaS platform. You will integrate diverse data sources to create a reliable single source of truth for asset, fund, and portfolio performance. You’ll collaborate with cross-functional teams to drive data-driven decisions and mentor teammates as you scale data capabilities. This is a growth-focused role in a technology-driven asset management context, offering impact at scale and the chance to shape a modern analytics platform.

Pay / Benefits

• annual bonus
• free onsite gym
• company pension scheme

Responsibilities

• Data Pipeline Development
• Data Platform Management
• Stakeholder Collaboration
• Leadership & Mentorship

Key requirements

• 5+ years in Data Engineering, Data Warehousing, or similar
• Strong Python and PySpark experience
• Excellent SQL skills
• Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar
• Solid understanding of data modelling and modern data warehouse architectures
• Experience designing and building scalable, production-grade data pipelines

• Stakeholder collaboration
• Leadership and mentorship
• Communication
• Python
• PySpark
• SQL

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