Senior Data Engineer | Azure, PySpark & Airflow Lead

Tria; United Kingdom; On-site; GBP 65,000 - 79,000; Full time

Benefits offered by this job

Annual bonus

Onsite gym

Company pension

Job summary

Tria is seeking an experienced Senior Data Engineer to design and deliver scalable data pipelines using Python, PySpark and SQL in a cloud-based environment.

The role focuses on Airflow orchestration, Kubernetes deployment on Azure, data modeling and building a modern data warehouse to support analytics and product insights. You will mentor juniors, collaborate with stakeholders, and help shape the data platform roadmap in a fast-growing SaaS business.

Qualifications

• Bachelor's degree in a STEM discipline or related field.
• Minimum of 5 years' experience in Data Engineering, Data Warehousing, or similar role.
• Strong experience with Python and PySpark.
• Excellent SQL skills.
• Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar.
• Solid understanding of data modelling principles and modern data warehouse architectures.
• Experience designing and building scalable, production-grade data pipelines.

Responsibilities

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

Skills

Python

PySpark

SQL

Airflow

Kubernetes

Azure

CubeJS

Data Modeling

Education

Bachelor's degree in STEM

Tools

Apache Spark

Azure Data Factory

SSIS

CubeJS

Job description

Tria is seeking an experienced Senior Data Engineer to design and deliver scalable data pipelines using Python, PySpark and SQL in a cloud-based environment.

The role focuses on Airflow orchestration, Kubernetes deployment on Azure, data modeling and building a modern data warehouse to support analytics and product insights. You will mentor juniors, collaborate with stakeholders, and help shape the data platform roadmap in a fast-growing SaaS business.