senior data quality engineer

Design, lead, and manage a data implementation strategy

Manage and maintain data assets in alignment with data management processes

Ensure data governance and compliance through appropriate processes

Participate in mapping business data sources to appropriate repositories of data

Identify new critical data elements and metadata

Coordinate and ensure the implementation of data asset management standards and policies in close collaboration with the providers of the data

Accountable for data discrepancies and mitigation, data availability and consistency

Drive compliance risk mitigations for regional data privacy and security

Participate in mapping business data needs to appropriate sources of data; provide guidance and coordinate/resolve data issues

Collaborate with internal data governance teams and ensure the implementation of data governance and data asset management standards and policies

Coach, mentor, and support Quality Engineers

3+ years of relevant Data experience (Big Data, Data Engineering, ETL, Data Modelling, and Data Pipelines)

Hands-on automation (scripting + execution)

Mention Senior as will need to be a self-starter with confidence to champion QE in some (healthy) challenging conversations

Microsoft Azure DevOps tool

Knowledge of DevOps operations and test integration into the DevOps process and tools with a focus on Agile

Experience in conducting TDM assessment

Ability to map business requirements to test data needs

Being comfortable with SAP would be an advantage

Good knowledge of Python

DevOps experience

GCP experience

Knowledge of SQL, test queries/scripts