Data Management Specialist

Are you a data-driven professional looking to make a direct impact in a fast-growing, ambitious organisation? Do you have the expertise to shape, guard, and elevate data management practices? Then join Projective Group as a Data Management Specialist.

About Projective Group

Projective Group is a leading Financial Services Consultancy firm where innovation and technology meet business. With an exclusive focus on the financial industry, the company delivers solutions across Data, Risk & Compliance, Pensions & Insurance, Payments, Transformation, and Talent. Within the Data Practice, teams help clients tackle data-related challenges by combining Engineering (data management, governance, analytics, architecture) and Consulting (strategy, use-case definition, transformation) to support cloud, digital transformation, and AI initiatives across the financial sector.

The role

As a Data Management Specialist, you will take on a key role within the Data Practice, ensuring that data across client organisations is accurate, consistent, compliant, and accessible, enabling trustworthy reporting, analytics, and AI use cases. You will work closely with business and IT teams to design, document, improve, and safeguard data structures, data flows, data governance processes, and data quality frameworks. Beyond your functional and technical expertise, you will act as a trusted advisor, helping clients mature their data governance and adopt best-in-class data management practices. The organisation works with a clean, flat structure, without heavy hierarchies or micromanagement, and offers support from the Data Practice Lead when needed.

Your profile

• Design, maintain, and optimise data models, data flows, pipelines, and data flows.
• Define and implement data quality rules, validation checks, monitoring, and remediation processes.
• Maintain data catalogs and business glossaries, including ownership, classifications, and metadata.
• Support and enforce data governance policies (e.g., data ownership, retention, access control, privacy).
• Translate business and regulatory requirements into data structures, interfaces, and documentation.
• Monitor data quality KPIs and create reporting for data owners and management.
• Coordinate and support data migration and data cleansing activities during system changes.
• Ensure compliance with internal standards and external regulations (e.g., GDPR).
• Document data models, lineage, interfaces, and data requirements in a clear and accessible manner.

Your minimum skill set

Hard skills

• Strong understanding of relational and dimensional modelling (conceptual, logical, physical).
• Hands-on experience with SQL and at least one major database (SQL Server, Oracle, PostgreSQL, cloud DW).
• Experience with ETL/ELT or data integration tools (Informatica, Talend, Azure Data Factory, dbt).
• Familiarity with data catalog and governance tools (Collibra, Alation, Azure Purview, OneTrust).
• Knowledge of data quality techniques: profiling, matching, deduplication, standardisation.
• Understanding of data warehouse, BI, and analytics environments (Power BI, Tableau).
• Basic understanding of privacy and security concepts (masking, encryption, RBAC, GDPR).
• Ability to read and interpret technical documentation, data models, and API specs.

Soft skills

• Strong analytical and problem-solving abilities, with great attention to detail.
• Excellent communication skills to bridge business and technical stakeholders.
• Confident in stakeholder management; able to challenge, align, and advise.
• Structured working style with strong documentation habits.
• Proactive attitude, driving issues from identification through resolution.
• Comfortable working cross-functionally with business, IT, risk, and compliance.
• High sense of ownership and integrity, especially with sensitive data.

Bonus

We will be even more impressed if you have:

• University or HBO degree in a technical field.
• Experience with cloud platforms (Azure, AWS, GCP) and scripting (Python, R).
• Experience with Data Stewardship or Data Frameworks (DCAM, DAMA).
• Experience bringing AI applications or advanced analytics into production.
• Experience teaching, presenting, or coaching.
• An active network in the Dutch Financial Services & Insurance sector.

What you can expect

• No micromanagement, no office politics, a clean, flat structure.
• Great benefits, pension, bonus, a training budget and social events.
• Opportunities to develop new skills and progress your career, including a substantial annual training budget.
• IT budget for laptop etc.
• Company car or mobility budget/NS business card.
• A healthy work-life balance, with a hybrid mix of office and home-based working options.