Data QA Engineer

We are looking for a Data QA Engineer, to join our team. As member of the Data Engineering crew, you will work with the Data Engineers, where your primary focus will be as the voice of quality and Quality Engineering practices. You will work collaboratively to deliver high quality outcomes to the customers. 

You will be focused on ensuring the focus on the right levels of data quality from ingestion to presentation with a variety of techniques and technologies. You will be hands on in the delivery and growth of the automation frameworks across our estate, whilst supporting the wider quality engineering community to benefit from best practices when testing with data in mind, shifting quality practices to the left.

You will support our delivery teams to ensure that quality is at the forefront of our delivery practices, and work towards a whole team ownership for quality. You will seek to identify obstacles that can derail the success of our deliveries and help to identify and drive towards the mitigation of such obstacles.

Expected travelling time (UK and USA):: 0%-15%, varies according to project.

Essential Skills

• Quality first mindset
• Proactive mindset and approach to self-learning and continuous improvement
• Experience of coaching others in quality engineering practices, behaviours and WoW
• Strong background in Quality Engineering techniques with Agile methodologies 
• Working experience with SQL (Snowflake/DBT would be a bonus)
• Good knowledge of Continuous Integration, Delivery and deployment through CI Pipelines
• Working knowledge and experience of serverless concepts and technologies
• Understanding of programming principles and best practice (e.g. DRY, SOLID for creating re-usable code)
• Enthusiasm for Data Engineering and Data Science

Desirable Skills

• Commercial background in Data Engineering or Science
• AWS services (Lambda, API Gateway, SFTP)
• Experience with non-functional testing (SQL profiling, Security and Access Control)
• Demonstrable knowledge of Data Quality Principles (DAMA) 
• Knowledge of python as a programming language

Responsibilities

• Coach and mentor crews in relation to data quality engineering practices, behaviours and ways of working
• Utilise toolsets that fit with the products under test and for use within a Continuous Integration and Deployment pipeline
• Continually seek to advance the software quality practices and raise the overall maturity within the tribe, by identifying potential impediments / obstacles, which could impact upon achieving successful high-quality deliverables at pace
• Collaboratively design, implement and execute automated test scenarios alongside engineers which demonstrate the business condition/behaviour under test and the expected results
• Work closely with PO’s, Solution Architects, Principal QEs and Engineers to help design and implement testable solutions
• Work collaboratively with the Engineering team to ensure that quality is built into everything, focusing on bug prevention over detection
• Help innovate and deliver continuous improvements across the domains and through the Quality Engineering Chapter