Job title: Data Quality Engineer
Company: Kindred Group
Job description: DetailsWork Location Type:HybridOffice:Type of Employment:Full Time PermanentReference Number:TEC2400About KindredKindred Group is a digital entertainment pioneer bringing together nine successful online gambling brands, forming one of the largest online gambling groups in the world. Our purpose is to transform gambling by being a trusted source of entertainment that contributes positively to society. Our goal is that 0% revenue is derived from harmful gambling.Our global team of more than 2000 people represents 70+ nationalities. When you join Kindred, you’ll be part of a collaborative, diverse and inclusive team that has your best interest at heart. We are a trusting company that knows the value of a healthy work-life balance. We offer a wide range of benefits, along with annual bonus, which is tied to both company and your individual performance.The roleKindred is executing on its biggest product transformation to date. Kindred’s goal is to deliver a best-in-class sports betting product. As such, we are building new sportsbook capabilities from the ground-up including the Data and Reporting Capabilities. In this role you will be working to ensure the quality of the data products we are building to cater to various Product Owners, and sportsbook operations teams to drive high standards for our sportsbook reporting data quality for both batch and real time use cases with a key mindset of automation and tracking defects and monitoring them to completion.What you will doData Quality Assurance & TestingTest and identify defects in batch and real-time data processes, ensuring high data integrity.Develop and execute test cases for ETL pipelines and analytical datasets to validate data transformations and aggregations.Design and execute data validation procedures to verify accuracy, completeness, and consistency across data sources.Build an automated regression test suite to ensure every data release is automatically validated.Automation & MonitoringAutomate daily data quality checks for proactive monitoring of data pipelines.Identify statistical anomalies and unexpected data patterns to detect quality issues before they impact business decisions.Implement data profiling, define data quality metrics, and track improvements over time.Collaboration & MonitoringAdvocate and embed a quality-driven mindset across the team, ensuring data quality is a priority from the start.Collaborate with business users, product owners, data engineers, and engineering teams to define and validate data requirements.Work closely with IT teams to implement and optimize data quality solutions.Prepare data quality reports, dashboards, and KPIs to communicate insights on data health and issue resolution progress.Your experience
Our Way Of WorkingOur world is hybrid.A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.Application ProcessClick on the “Apply Now” button and complete the short web form. Please add your CV and covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon. Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, ages, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. Kindred has an ESG rating of AAA by MCSI.
Expected salary:
Location: Sydney, NSW
Job date: Thu, 27 Feb 2025 23:21:48 GMT
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