Data Quality Analyst

Multiplex is a premier construction company with a simple purpose: to construct a better future. As part of our team, you will help deliver some of the world’s most iconic projects in an inclusive culture that puts our people first. Our Global IT division has colleagues in Australia, UAE, UK and Canada, based on the principles of Design, Build, Run and Enable. We are currently modernising the business through digital technology, leveraging data and technology to improve operational efficiency.

Benefits:

• Discretionary annual bonus
• 8% company contribution pension
• 25 days annual leave plus holiday buy options
• Single private medical cover
• Employee assistance programme
• Virtual GP service
• Competitive parental leave
• Flexible benefits including season ticket loans, discounted gym memberships and a cycle to work scheme
• Professional career development opportunities and learning through the Multiplex Learning Academy
• Industry-leading flexible work approach to enable better work-life balance

Who We're Looking For:

We are looking for a Data Quality Analyst to join our Global Data Team at our London Head Office.

Job Overview:

The Data Quality Analyst ensures Multiplex’s data is accurate, consistent and dependable across data products and reporting. The analyst works with business and data teams to identify data quality risks early, diagnose issues through profiling, and support data migration by validating mappings and transformations. He/she translates business needs into clear data quality requirements, supports testing, monitors KPIs and alerts, and collaborates to embed data governance and uplift quality practices.

Key Responsibilities:

• Work with business stakeholders to identify potential data quality risks through collaboration and requirements discussions.
• Perform hands-on data discovery, profiling and quality checks at source during project initiation.
• Analyse root causes of data quality issues and partner with business units to implement corrective actions.
• Support data migration by validating source-to-target mappings, transformation rules and migration scripts.
• Conduct reconciliation and post-migration data quality checks to ensure completeness, accuracy and integrity.
• Raise and drive resolution of defects during trial loads, rehearsals or live cutovers, documenting for auditability.
• Work with engineering, product and business teams to ensure migrated data meets quality, governance and reporting requirements.
• Translate business needs into measurable data quality requirements and support testing when required.
• Partner with engineers to implement pipeline constraints and data quality rules aligned to business requirements.
• Design data quality monitoring and alerting mechanisms and maintain quality metrics and KPIs.
• Collaborate with data stewards and owners to define quality standards and deliver training.
• Identify opportunities to strengthen data quality standards, policies and procedures and propose enhancements to data engineering processes.
• Ensure compliance with internal data governance practices and external regulatory requirements.

Qualifications:

• Relevant Azure certifications and any additional certifications in data analysis, quality assurance, data management or related fields are highly desirable.
• A degree in computer science, IT or a related field is beneficial but not required—equivalent relevant experience is equally welcomed.
• Expertise in Atlan, SQL, Python or similar for data manipulation and rule implementation.
• Hands-on experience with Databricks, Delta Live Tables and data quality frameworks such as DQX.
• Proficiency in data profiling, cleansing and root cause analysis tools and experience with data migration.
• Knowledge of data pipelines and engineering best practices.
• Ability to create dashboards using Power BI and collaborate cross-functionally.
• Expertise in cleaning and transforming data to ensure accuracy and reliability.
• Knowledge of data governance principles, practices and regulatory requirements.
• Ability to set up monitoring systems and alerts to detect data quality issues promptly.
• History of working in Agile and Waterfall delivery teams.
• Ability to navigate ambiguity with evolving data requirements.

Diversity Statement:

Diversity is about celebrating the ways we are all different and appreciating the unique qualities every employee brings. We invite applications from people of all genders, cultures and walks of life. We believe that even if you do not match every criterion, if you are passionate about helping to construct a better future, we’d love to hear from you. We are committed to providing a barrier-free work environment and can support reasonable adjustments at any stage of the recruitment process. Simply inform our Talent Acquisition team during your conversation with them.