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SalaryData Quality Engineer - Azure - Databricks - London, Hybrid
I'm currently working with a global organisation that are going through an awesome period of transformation.
As an company, they're very people centric and love the culture and environment that they've created not just in their UK offices but also, globally. Despite being geographically spread across the globe, they've maintained a great collaborative working environment which has helped the business achieve the successes that they've achieved.
They're recognised as an industry leader who have projects globally and have won some of the most exciting projects across the world.
For this role, they're looking for someone to come in and own the testing / quality function and act as the bridge between development and testing. They don't want the functions to feel as 2 separate entities which is often the case. Rather, they want the development team to be a complete team who work collaboratively to ensure that all development and data capabilities are to the highest standard. You will be using the cutting edge technologies within Azure & the data world such as the MS Azure stack & Databricks.
This is a salaried position which is paying up to £75,000 as a base salary. My client have adopted a hybrid working policy which helps them to ensure that the team are always working collaboratively. Equally, they have a high trust, high performance working policy which is all about getting the work done but also, provided successful applicants to manage their time to their liking.
Experience sought...
- Experience of Databricks & Azure Datafactory
- Experience of development within a live environment is highly beneficial
- Further experience of Pyspark & Python is highly advantageous
This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for across the globe. Interviews are already taking place so don't miss out and apply now!
If this is of an interest then get in touch ASAP. Send across your CV to or alternatively, give me a call on .
Keywords: SQL, Test Engineer, Data Engineer, Quality Assurance, Tester, SDET, Azure, Data Factory, ADF, Pipelines, ETL, Databricks, Data Governance, Data Quality, Automation, UAT, SQL, Pyspark, Python, London
