Описание
As a Data Engineer focused on data quality in NOBA Bank Group, you'll make sure the data our bank relies on is accurate, consistent and trusted. You'll build the checks, tests and monitoring that catch problems early, and work with teams across the bank to fix them at the source.
About the role
The Data & Analytics Engineering department brings together specialists in data infrastructure, analytics, and data management. Together we build a modern and reliable data foundation that supports decision making across the business. This role is in the Data Management & New Initiatives team.
You'll design and implement data quality frameworks across our Databricks and dbt environment. This includes automated testing, validation rules, anomaly detection, and monitoring of data quality metrics. You'll partner with data owners, analysts, and engineers to define what "good data" means for each domain.
You'll investigate quality issues, find root causes, and drive lasting fixes rather than quick patches. We use AI extensively in our daily work, from writing and reviewing code to documentation and analysis. You'll be encouraged to use AI tools to work faster and smarter, and to help us find new ways to apply them.
This is a great opportunity to enjoy a high degree of self-responsibility and to expand your expertise into areas of your interest. You'll collaborate broadly and see the tangible results of your work. We offer a hybrid working model with two common in-office days.
While we valu
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