Senior Data Engineer - Cloud Pipelines & Azure Lead

Tria; England; On-site; GBP 43,000 - 72,000; Full time

Benefits offered by this job

Annual bonus

Free onsite gym

Company pension

Job summary

Tria is seeking a Senior Data Engineer to lead the development of scalable data pipelines and to integrate diverse data sources into a cloud-based platform. You will guide data processing using Python, PySpark, and SQL within Azure and Kubernetes environments.

The role emphasizes leadership, collaboration with stakeholders, and mentoring junior engineers while delivering robust data solutions for a SaaS product.

Qualifications

• Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field.
• Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a 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

SQL

PySpark

Airflow

Azure

Kubernetes

Education

Degree in STEM

Tools

Apache Spark / PySpark

Airflow

Kubernetes

Azure

CubeJS

Job description

Tria is seeking a Senior Data Engineer to lead the development of scalable data pipelines and to integrate diverse data sources into a cloud-based platform. You will guide data processing using Python, PySpark, and SQL within Azure and Kubernetes environments.

The role emphasizes leadership, collaboration with stakeholders, and mentoring junior engineers while delivering robust data solutions for a SaaS product.