NTT DATA Romania SA

Compensation

Full Description

Who we are   They say we are the drop that turns white into a rainbow. In fact, we are a small department within NTT DATA Romania, referred to as Agile Transformation Office - your ticket to real and lasting impact in software projects, ensuring that agility principles stick, keeping the focus on value. To achieve this, we rely on talented professionals who can bridge innovation and execution. That’s why we are looking for a Technical Product Owner with strong insurance domain knowledge and data engineering expertise to lead initiatives that ensure the integrity, scalability, and reliability of enterprise data solutions. This role bridges business and technology, driving the implementation of advanced data platforms and analytics capabilities.   What you'll be doing   Define and prioritize data assurance requirements, ensuring alignment with business objectives and compliance standards Collaborate with data engineers, data modelers, and analysts to design and implement data pipelines using Azure Synapse, Azure Data Factory (ADF), and Databricks, following DataVault 2.0 methodology Monitor and improve data quality and integrity, proactively identifying and resolving discrepancies Act as a liaison between technical teams and business stakeholders, translating complex requirements into actionable backlog items Oversee testing and validation of data pipelines to ensure accuracy, reliability, and performance Document data processes, workflows, and standards for consistency and compliance Stay current on industry trends in insurance, data engineering, and cloud technologies Participate in Agile ceremonies (sprint planning, reviews, retrospectives) to ensure timely delivery   What you'll bring along   Bachelor’s degree in Computer Science, Software Engineering, or related field 3+ years as a Product Owner or similar role, ideally in insurance-related projects 3+ years in data engineering, data assurance, or related technical roles Strong hands-on knowledge of Azure Synapse, Azure Data Factory (ADF), and Databricks Experience with data modeling, ETL/ELT processes, and DataVault 2.0 methodology Proficiency in SQL, Python, and/or Spark for data processing and analysis Familiarity with data quality frameworks, validation techniques, and governance Experience in Agile/Scrum environments Excellent communication and stakeholder management skills Ability to translate business needs into technical requirements Excellent command of spoken and written English