Senior Data Quality Assurance EngineerWho we are 🩵
We're the people behind global loyalty currency, Avios, and home to three ambitious, growing businesses; IAG Loyalty, British Airways Holidays and The Wine Flyer . Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers.
We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in.
The opportunity
As a Senior Data Quality Assurance Engineer, you'll play a vital role in ensuring the accuracy, integrity, and reliability of data within our organisation. You'll be responsible for developing and implementing data quality standards, processes, and best practices to maintain high data quality throughout the data lifecycle.
Your expertise in data validation, testing methodologies, and quality assurance techniques will contribute to the successful delivery of data-driven initiatives and enable us to make informed decisions across the organisation, as well as keeping us compliant with regulatory requirements and industry standards.
You'll collaborate closely with cross-functional teams, including data engineers, data scientists, and wider business stakeholders, to establish data quality criteria and provide guidance and training on data quality best practices, tools and technologies.
This role is based out of our London office. We call our approach to hybrid working The Blend - it's about giving you the flexibility to choose where you do your best work, while staying connected with your team and the wider business. This means you will be required to spend at least two days per week in the office, with the rest of the time working from home. You may also be required to work from one of our other office or partner locations, based on your role and 'to do' list.
What you'll get up to
In this role, you will be responsible for designing and executing comprehensive data validation strategies, including data profiling, cleansing, and transformation, to identify and rectify data quality issues.
You'll conduct data quality assessments and audits to ensure adherence to standards and identify areas for improvement.
Your work will involve creating and maintaining dashboards and reports that provide visibility into data quality metrics and trends. Collaborating closely with data engineering teams, you will design and implement automated data quality checks and monitoring processes.
Additionally, you will perform root cause analysis for data quality issues, identifying underlying causes and proposing effective solutions. You will also assist product teams in developing and executing test plans, cases, and scripts to validate data transformation and integration processes. Staying updated on emerging trends and technologies in data quality management, you will recommend innovative solutions to enhance data quality practices within the organisation.
What we need from you