Details:
- Salary: £50,000 - 72,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: South West
- Date: 1 week ago
Description:
Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes
Salary: Up to £72,000 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 & MentorshipTechnology 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, SQLEssential 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