Hybrid Data Steward – Finance, Risk, Data

at SEB

• Job title: Data Steward – Finance, Risk, Data
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: €3,500 - €5,200 per month
• Degree requirement: No Education Requirement
• Tech skills: SQL
• Location requirements: Hybrid, Tallinn, Estonia

About the role

• Data Steward responsible for data governance and management at SEB. Collaborating with stakeholders to ensure accurate data and compliance.

Responsibilities

• Ensuring data within the assigned Data Area is managed in line with SEB Data Governance policies
• Defining and owning logical and conceptual data models for assigned data domains, ensuring they accurately reflect business concepts and relationships
• Collaborating with business stakeholders, data owners, and architects to translate business requirements into logical data structures
• Establishing and maintaining metadata descriptions and business glossary definitions
• Coordinating the definition, implementation, and monitoring of data quality controls
• Identifying, documenting, and driving remediation of data quality issues, including root cause analysis and improvement proposals
• Supporting downstream data consumers and providing data expertise to development initiatives

Requirements

• Strong SQL skills and practical experience working with databases;
• Hands-on experience creating and maintaining conceptual and logical data models;
• Solid understanding of data modeling principles (entities, attributes, relationships, normalization and similar);
• Experience in reporting solutions, database design, data control implementation, data quality management;
• Understanding of regulations that affect regulatory reporting area and practical experience with the data flows supporting regulatory reporting processes;
• Comfort operating in a dynamic environment where priorities and requirements may evolve, and the ability to create clarity through proactive communication;
• Experience in finance and economic analysis, data Management and tools like Collibra would be an advantage;
• Ability to explain data concepts clearly to both technical and non-technical audiences;
• Experience in regulated and large-scale data environments is considered a plus;
• Proficiency in written and spoken English language

Benefits

• Dynamic and empowering environment
• Agile and modern ways of working
• Inspiring, supportive and truly awesome international team
• Limitless opportunities for your professional and personal development and growth
• Opportunity to work remotely
• Additional seniority vacation days, health insurance and attractive benefits package