At a Glance
- Tasks: Design and optimise data ingestion pipelines using Databricks and PySpark.
- Company: UST, a forward-thinking tech company focused on data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative Agile environment with a focus on innovation.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: Experience with SFTP, cloud technologies, and data modelling required.
The predicted salary is between 60000 - 75000 £ per year.
UST is seeking an experienced Data Engineer to design, build and optimise enterprise-scale data ingestion pipelines. You will work with Databricks, PySpark and SparkSQL to transform data from vendor platforms into the client data ecosystem, ensuring secure, governed, and accessible data for reporting and analytics.
The role requires strong experience with SFTP-based ingestion, cloud technologies and data modelling, and collaboration with analysts, product owners and architects in an Agile environment.
Senior Data Engineer - Databricks & ETL Pipelines (Hybrid) in Leeds employer: UST
As a Principal Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises technical excellence and continuous learning. With opportunities for mentorship and collaboration across diverse teams, you will play a pivotal role in shaping the future of our cloud-scale data platform while enjoying the flexibility of a hybrid work environment in Nottingham or London. We are committed to fostering your professional growth and providing a supportive atmosphere where your contributions directly impact our success.
