Purview Specialist

Job Description

Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices.

We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance – we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual.

Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you’re surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee-owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant.

About the business unit

Mott MacDonald’s support services are the driving force behind our organisation enabling us to run efficiently and effectively. The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our global reach.

The Data Management Specialist is responsible for providing advanced technical and functional support for enterprise data management solutions, ensuring high availability, integrity, optimisation, and performance of Mott MacDonald (MM) critical data assets.

Key duties and responsibilities include:

• Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues.

• Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements.

• Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives.

• Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities.

• Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms,, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory.

• Document technical solutions, best practices, and knowledge base articles to facilitate effective knowledge transfer and continuous improvement.

• Diagnose and resolve data-related incidents and problems escalated from Level 1 and Level 2 support teams.

• Perform advanced database administration, including indexing, query tuning, backup and recovery, and security management.

• Support data integration processes (ETL, API connections) and troubleshoot failures in Azure data pipelines.

• Implement and maintain data governance standards, ensuring data accuracy, completeness, and consistency through the use of tools such as Azure Purview and SAP datasphere.

• Provide technical support for enterprise data management tools, including data catalogues, data lakes, and master data management solutions.

• Conduct regular audits to ensure compliance with data governance policies and standards.

• Support incident management and change management processes related to data management.

• Train and mentor Level 1 and Level 2 support teams to enhance their data management capabilities.

Candidate specification

Essential:

• Bachelor’s degree in Information Technology, Computer Science, Data Management, or a related field.

• 5+ years of experience in data management, data operations, or IT support roles, with at least 2 years in Level 4 support or equivalent. Hands-on experience with database technologies (Azure landscape, Oracle, PostgreSQL, etc.).

Desirable:

• Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable.

• Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data governance, data quality management, and metadata management.

• Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy.

Personal Attributes:

• Deep understanding of relational and non-relational database architectures, indexing strategies, and performance tuning.

• Strong analytical and problem-solving skills for troubleshooting complex data issues.

• Knowledge of data governance frameworks (DCAM, DAMA DMBOK, ISO 8000, GDPR compliance).

• Familiarity with data security principles and regulatory compliance requirements.

• Ability to work independently and collaboratively in a fast-paced, global environment.

• Excellent communication and stakeholder engagement skills.

• A collaborative team player who thrives in a dynamic environment, values knowledge sharing, and actively contributes to collective success.

• Embraces continuous technological advancements and is eager to grow alongside the team.

We are actively recruiting a diverse workforce that is reflective of the communities we serve. We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds.

Flexible working

At Mott MacDonald, we support our staff to create work-life balance which works for them and welcome candidates looking for career flexibility. We are open to discussing flexible working at interview stage.

Our benefits package is designed to enhance your experience:

• Agile working
• Critical illness and compassionate leave
• Paternity Leave
• Group term life insurance, and Group medical insurance coverage
• Career mobility options
• Short and Long-term global employment opportunities
• Global collaboration and knowledge sharing