Data Governance & Data Quality Consultant (Mid-Senior)

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Ever wondered what it feels like to be a Data Governance & Data Quality Consultant (Mid-Senior) at Netcompany?

Joining us as a Data Governance & Data Quality Consultant (Mid-Senior), you will play a key role in defining, designing, and overseeing data governance and data quality frameworks, helping organisations establish trusted data assets, improve data management practices, and ensure the accuracy, consistency, and reliability of their data.

Working at the intersection of data management, business requirements, and technology, you will take ownership of governance definitions, business glossaries, critical data elements, and data quality rules. You will collaborate closely with Data Engineers and client stakeholders, translating business needs into clear functional specifications and ensuring that technical implementations deliver accurate, meaningful, and measurable results.

As a key consulting partner for our clients, you will contribute to presenting solutions, explaining governance concepts, validating technical deliverables, and ensuring effective collaboration between business and technical teams.

As a Data Governance & Data Quality Consultant (Mid-Senior), you will:

• Manage business glossaries and metadata: Define and maintain business glossary terms, including descriptions, source references, custom attributes, and Critical Data Elements (CDEs), using enterprise data governance platforms.
• Advise on data access and permissions: Provide guidance on access management and governance structures, with an understanding of role-based access control (RBAC), permissions, and access management principles across cloud environments.
• Design and oversee data quality frameworks: Define data quality dimensions, identify Critical Data Elements, establish validation rules, determine quality metrics and acceptance thresholds, and ensure that the defined rules accurately reflect business requirements.
• Validate data quality implementations: Review SQL queries developed by Data Engineers to verify their logic and ensure that implemented rules correctly measure the intended data quality requirements. Identify inconsistencies, provide documented feedback, and coordinate necessary improvements.
• Monitor data quality results: Navigate relevant data management and analytics environments to access, review, and interpret data quality results, identify potential data management issues, and assess the overall quality of enterprise data.
• Review and assess data inputs: Examine client-provided files, definitions, and business requirements to assess their accuracy and completeness, and map them against existing data quality rules to avoid duplication or conflicting definitions.
• Engage with client stakeholders: Present data governance concepts, data architecture, and proposed solutions during project kick-offs and throughout project delivery. Act as a key point of contact for discussions concerning business definitions, data quality rules, and results.
• Coordinate project activities: Work closely with the Project Manager and Data Engineers to monitor deliverables, organise workflows, facilitate communication between stakeholders, and ensure smooth project execution.
• Drive continuous improvement: Identify opportunities to improve governance practices, data quality frameworks, documentation, and the overall management and reliability of enterprise data.

What would make you a fit for the role:

• A bachelor's degree in Computer Science, Information Systems, Information Technology, Business Informatics, or a related field.
• At least 3 years of professional experience in Data Governance, Data Quality, Data Management, or a related consulting role.
• Good understanding of data governance concepts, including data catalogs, metadata management, business glossaries, data ownership, and Critical Data Elements (CDEs).
• Experience with data quality methodologies, including data quality dimensions, validation rules, metrics, and acceptance criteria.
• Strong SQL knowledge, with the ability to read, interpret, review, and validate queries developed by other technical professionals.
• Familiarity with cloud-based data platforms and modern data architectures, ideally within the Microsoft ecosystem.
• Ability to design Power BI report mock-ups, with an understanding of report structure, data visualisation, filtering logic, and data storytelling.
• Understanding of data architecture and the ability to communicate technical concepts and proposed solutions to business stakeholders.
• Strong analytical, problem-solving, and documentation skills, with the ability to translate business requirements into clear technical and functional specifications.
• Excellent communication and presentation skills, with the ability to independently engage with clients and collaborate effectively with technical and business teams.
• Excellent command of both Greek and English, including technical and business terminology.

It would also be a plus if you match some of the following:

• Practical experience with Microsoft Purview, particularly Unified Catalog, Data Map, and REST APIs.
• Familiarity with Microsoft Fabric, including Lakehouses, notebooks, and Delta tables.
• Experience with other data governance platforms, such as Collibra or IBM Knowledge Catalog.
• Knowledge of Microsoft Azure and related data management services.
• Experience with Python, particularly for API integrations and data transformations.
• Previous experience in the Energy sector or an industrial environment.
• Familiarity with established data governance frameworks, such as DAMA-DMBOK.
• Understanding of data lineage and semantic modelling in Power BI.
• Experience with Power BI data models and the relationship between business definitions and data quality reporting.

Being a part of the Netcompany team, you will be provided with:

• The opportunity to work in a modern environment & in a hybrid working model
• A seamless onboarding experience and a buddy to support you on your first steps
• A competitive compensation & benefits package
• Health and life insurance program
• Meal and commuting allowance
• Well-being activities (on premises)
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
• A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you'll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/