
Data Quality Engineer with Data Science & Python
- Utrecht
- Contract
- Voltijds
- Design, develop, and maintain automated data quality validation frameworks using Python.
- Collaborate with data engineers and scientists to ensure data consistency, completeness, and
- Identify data quality issues, investigate root causes, and implement resolutions or process
- Apply data science techniques (e.g., anomaly detection, clustering, statistical modeling) to
- Work with stakeholders to define data quality requirements and standards.
- Perform exploratory data analysis (EDA) and profiling to assess quality and discover patterns
- Develop documentation and promote best practices for data validation and governance.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related
- 3+ years of experience in a data engineering, data quality, or data science role.
- Strong programming skills in Python with hands-on experience in data manipulation (Pandas,
- Proficiency with SQL and relational databases (e.g., PostgreSQL, MySQL).
- Experience with data quality tools (e.g., Great Expectations, Deequ, Apache Griffin) is a plus.
- Familiarity with data pipelines, ETL processes, and cloud platforms (AWS, GCP, or Azure).
- Knowledge of statistical techniques and machine learning concepts for data validation.
- Excellent analytical, troubleshooting,