Job Description

Job Brief

We are looking for a Data Quality Engineer with a strong analytical mindset and technical expertise to ensure the integrity, reliability, and performance of data across complex systems. In this role, you will design and implement automated data quality checks, monitoring frameworks, and reporting dashboards to support data-driven decision-making. This is a great opportunity to work in a dynamic environment, collaborating with cross-functional teams to enhance data governance and ensure high standards of data accuracy.

Responsibilities

• Design, implement, and maintain data quality monitoring and alerting systems.

• Develop automated validation and testing scripts using Python and SQL to identify and resolve data inconsistencies.

• Collaborate with data engineering and analytics teams to define data quality metrics and ensure data reliability across platforms.

• Build and maintain dashboards to visualize data quality trends using tools such as Power BI, Plotly, or similar BI solutions.

• Support the creation and maintenance of data documentation and data governance standards.

• Continuously improve automation frameworks to streamline quality checks and reduce manual effort.

• Work closely with stakeholders to ensure that data meets business requirements and compliance standards.

Requirements and Skills

• Minimum of 3 years of experience as a Data Quality Engineer, Data Analyst, or similar role.

• Bachelor’s or Master’s degree in Data Science, Computer Engineering, Information Systems, or related fields.

• Strong proficiency in Python and SQL.

• Hands-on experience with automation frameworks and dashboarding tools (Power BI, Plotly, or other BI tools).

• Proven ability to implement and manage data monitoring and alerting systems.

Next Steps:

Do you consider yourself the ideal candidate for this role? If so, take the next step and apply now. Our team will take care of the rest!