Start searching
Back to Jobs
Full timeTechnology

Senior Data Engineer - Python, Airflow, Pyspark, SQL

Tria RecruitmentSouth West🇬🇧United Kingdom

Why this role stands out

This Senior Data Engineer role offers a fantastic opportunity to drive innovation within a leading SaaS business, leveraging your Python, Airflow, and PySpark expertise to build scalable data solutions. You'll thrive in this position if you're a seasoned data professional eager to lead impactful projects and contribute to a company at the forefront of data transformation. Apply now to join a dynamic team and advance your career in a rewarding environment with a competitive salary of £72,000.

Quick overview

Salary£72k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationSouth West, United Kingdom
SQLApache SparkAirflowApacheData PipelinePythonAzureKubernetesAzure Data Factory

Job description

Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes

Salary: Up to £80,000 per annum
Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme.

About the Role

We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that is transforming the way commercial data is managed and utilised. In this role, you will lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based platform.

About the Company

Our client is a leading technology business focused on transforming commercial Asset management through data and innovation. Their SaaS platform consolidates and reconciles data across financial, operational, and leasing functions, providing a single source of truth for asset, fund, and portfolio performance.

Key Responsibilities

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

Technology Stack

The successful candidate will have experience working with some or all of the following technologies:

  • Data Processing: Apache Spark/PySpark
  • Workflow Orchestration: Apache Airflow
  • Containerisation: Kubernetes
  • Cloud Platform: Microsoft Azure
  • Data APIs & Semantic Layer: CubeJS
  • Programming Languages: Python, SQL

Essential Skills & Experience

  • 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.

Desirable Experience

  • Experience working within cloud-native Azure environments.
  • Knowledge of modern analytics platforms and semantic data layers.
  • Previous mentoring or technical leadership experience.

Apply

If you're a passionate Senior Data Engineer looking to work on complex data challenges and build impactful data solutions at scale, we'd love to hear from you. Join a growing technology business where your expertise will directly influence the future of a data-driven platform serving one of the world's largest industries.

Similar jobs

Apply