Senior Data Engineer - Python, Airflow, Pyspark, SQL
Tria Recruitment
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
- Data Pipeline Development
- Data Platform Management
- Stakeholder Collaboration
- Leadership & Mentorship
- 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
Reference: WJ-747_31212616 · Posted 01 Nov 2026, 12:16 PM