Innova - Senior Data Quality Developer

Sector: Telecommunications Employment Type: Contract Location: Belgium (Hybrid) As a Senior Data Quality Developer, you will play a key role in strengthening enterprise data quality across multiple business domains. You will develop robust data quality controls, support large-scale IT and migration projects, and implement automated reconciliation processes that improve data reliability and business decision-making. Working with modern data technologies and best practices, you will contribute to enterprise-wide data governance while ensuring high-performance, scalable, and maintainable data quality solutions.

Key responsibilities

• Data quality development:

• Design, develop, and maintain enterprise data quality solutions.
• Build automated data quality checks using Python and Apache Spark.
• Translate business requirements into scalable technical solutions.
• Estimate development effort and technical feasibility for new requests.
• Apply enterprise data quality methodologies and best practices.
• Ensure solutions meet performance, scalability, and availability requirements.

• Data quality framework & governance:

• Develop and enhance the organization's Data Quality Framework.
• Document data quality rules and technical assets within the enterprise data governance platform.
• Ensure compliance with internal architecture, governance, and development standards.
• Promote data quality best practices across development teams.

• Data integration & reconciliation:

• Develop end-to-end reconciliation processes for enterprise data.
• Integrate data from multiple internal and external sources.
• Build consolidated data models for downstream processing.
• Implement reconciliation rules defined by business analysts.
• Produce consolidated datasets including issue categorization and audit information.
• Maintain historical audit trails to monitor data evolution over time

• Data engineering:

• Design and optimize large-scale data processing jobs.
• Develop high-performance ETL and data integration processes.
• Monitor data pipelines and job dependencies.
• Perform root cause analysis for processing failures.
• Conduct impact assessments and implement enhancements as business requirements evolve

• Reporting & analytics support:

• Develop statistical and reporting datasets.
• Build reusable data assets that support business reporting.
• Perform complex SQL queries and data analysis.
• Support enterprise data cleansing and data quality initiatives.

• IT project support:

• Support enterprise IT transformation and migration projects with a strong data quality component.
• Collaborate with Agile delivery teams throughout the project lifecycle.
• Participate in:

- Sprint Planning - Backlog Refinement - Peer Reviews - Retrospectives - Release Planning

• Communicate progress, risks, and deliverables to technical and business stakeholders.

Key functional areas

• Joint venture end-to-end audit:

• Load and integrate external data files into enterprise data models.
• Implement reconciliation logic.
• Build consolidated audit datasets.
• Maintain historical audit tracking.
• Produce reporting and statistical tables.
• Monitor processing workflows and dependencies.

... ...

• Master's degree in:

• Business Analytics
• Industrial Engineering
• Data Science
• Computer Science
• Information Technology
• Or equivalent professional experience

• Professional experience:

• Minimum 8 years of experience developing enterprise data solutions.
• Strong background in data quality, data engineering, or enterprise data management.
• Experience delivering large-scale data-driven IT solutions.
• Telecommunications industry experience is considered an advantage.

Technical skills:

• Mandatory:

• SQL
• Python
• Apache Spark
• Bash scripting

• Preferred:

• Pandas
• GitHub
• GitLab
• CI/CD pipelines
• Data Quality Frameworks
• Enterprise Data Governance
• Collibra
• Data Reconciliation
• ETL Development

Core competencies:

• Strong analytical and problem-solving skills
• Excellent organizational and planning abilities
• Strong communication and stakeholder management skills
• Ability to explain technical concepts to business users
• Experience working within Agile delivery environments
• Strong collaboration and mentoring capabilities
• Results-oriented with attention to detail
• Ability to manage multiple priorities simultaneously
• Continuous improvement mindset
• Languages:

• Fluent in English and Dutch or
• Fluent in English and French

Work environment:

• Agile development environment
• Cross-functional collaboration with business and IT teams
• Enterprise-scale data quality initiatives
• Participation in CI/CD and modern DevOps practices