?Job Title: Data Quality Engineer

? ?Job Type: Freelance

?Location: Brussels, Belgium

?Work regime: Hybrid

?Keywords: Python, Spark, Data warehousing and SQL

Mission Overview

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.

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

A little about us:

Innova Solutions is a diverse and award-winning global technology services partner. We provide our clients with strategic technology, talent, and business transformation solutions, enabling them to be leaders in their field.

- Founded in 1998, headquartered in Atlanta (Duluth), Georgia.
- Employs over 50,000 professionals worldwide, with annual revenue approaching $3.0B.
- Delivers strategic technology and business transformation solutions globally.
- Operates through integral delivery centers across North America, Asia, and Europe.
- Provides services for data center migration and workload development for cloud service providers.

Awardee of prestigious recognitions including:

- Women’s Choice Awards - Best Companies to Work for Women & Millennials, 2024
- Forbes, America’s Best Temporary Staffing and Best Professional Recruiting Firms, 2023
- American Best in Business, Globee Awards, Healthcare Vulnerability Technology Solutions, 2023
- Global Health & Pharma, Best Full Service Workforce Lifecycle Management Enterprise, 2023
- Received 3 SBU Leadership in Business Awards
- Stevie International Business Awards, Denials Remediation Healthcare Technology Solutions, 2023

📌 Data engineer (España)
🏢 Innova Solutions
📍 España