Senior Data Quality Developer – Python & Spark

Responsibilities

• Develop and maintain data quality checks using Python and Spark within the established technical framework.
• Translate business requirements into technical solutions by evaluating feasibility and workload for data quality developments.
• Lead the development team in applying best practices and standard methodologies for high-performance data delivery.
• Manage end-to-end data reconciliation processes, including data ingestion and integration into consolidated models for infrastructure partnerships.
• Create and maintain audit trails and statistical tables to support business reporting and historical data tracking.
• Conduct impact analysis and perform root cause analysis on data processing chains to ensure system reliability.

Requirements

• 8+ years of experience in developing and rolling out IT solutions with a strong data component.
• You bring advanced expertise in data processing with Python, Spark, and Bash.
• You possess strong proficiency in SQL for querying complex structured datasets and extracting insights.
• You have experience managing end-to-end data reconciliation, data modeling, and ingestion of various file formats.
• You bring a background in Agile environments and CI/CD release cycles across multiple environments.
• You're a holder of a Master’s degree in Business Analytics, Industrial Engineering, Data Science, or equivalent experience.
• You possess advanced analytical, problem-solving, negotiation, and organizational skills.
• You are fluent in English with active knowledge of Dutch or French.

Nice to Haves

• Experience with Pandas and other common Python data libraries.
• Practical knowledge of CI/CD pipelines and version control using GitHub or GitLab.
• Professional experience within the telecommunications sector.
• Knowledge of data governance tools such as Collibra.