Data Steward, Datu pārvaldnieks/-ce

SEB

. Ensure data within the Digital Channels Data Area is managed according to SEB Data Governance policies and standards .

Posted 10/9/2026full-timeRiga • LatviaMid-LevelSenior💰 €2,950 - €4,450 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, including SQL analysis, data quality management, and data modeling principles. Proficient in communicating complex data concepts to diverse audiences while adhering to regulatory standards.

Highest-signal resume keywords

SQL AnalysisData Quality ManagementData Modeling PrinciplesCollibra ExperienceRegulated Data Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData Quality RulesData DefinitionsData GovernanceData Control ImplementationData AnalysisData ValidationData Structure InterpretationMetadata ManagementRoot Cause Analysis

Soft Skills

Clear CommunicationStakeholder CollaborationProblem Solving

Tools & Technologies

Collibra

Certifications & Qualifications

Article 34.5 Compliance

Industry Keywords

Data GovernanceData ManagementData QualityReporting SolutionsDatabase Design

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Ensure data within the Digital Channels Data Area is managed according to SEB Data Governance policies and standards
Work with business stakeholders, data owners, architects, and development teams to agree on data definitions, quality requirements, and responsibilities
Establish and maintain business glossary definitions and metadata, linking business concepts to relevant data assets
Coordinate the definition, implementation, and monitoring of data quality rules and controls
Investigate and document data quality issues, support root cause analysis, and coordinate remediation with accountable owners and development teams
Support data consumers and development initiatives by explaining data meaning, structure, quality, and appropriate use

Requirements

What you’ll need

Practical experience using SQL to analyse, investigate and validate data
Sound understanding of data modelling principles, including entities, attributes and relationships, and ability to interpret data models
Understanding of reporting solutions, database design, data control implementation and data quality management
Ability to explain data concepts clearly to both technical and nontechnical audiences
Proficiency in written and spoken English language
Candidate must meet the requirements of Article 34.5 of the Credit Institutions Law
Experience in data management and tools like Collibra would be an advantage
Experience in regulated and large-scale data environments is considered a plus

Benefits

Comp & perks

Meaningful and challenging work in a highly skilled international team
A supportive and inclusive culture with modern, ergonomic workspaces
A hybrid working model, with three days per week in the office
Dedicated time for learning during work hours and access to global learning platforms
Competitive benefits, including health insurance, additional vacation days, and third-pillar pension contributions
Employee events
Mental health resources
Other wellbeing benefits