Data Steward

SEB

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

Posted 10/9/2026full-timeVilnius • LithuaniaMid-LevelSenior💰 €3,750 - €5,650 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, quality management, and data modeling principles, with a strong ability to communicate complex data concepts to diverse audiences. Proficient in SQL and familiar with data management tools to ensure data integrity and compliance in regulated environments.

Highest-signal resume keywords

SQL Data AnalysisData Quality ManagementData Modeling PrinciplesCollibra FamiliarityData Governance Compliance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData ModelingData Quality ManagementData AnalysisData Control Implementation

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

CollibraPostgreSQLOracleGitBitbucketGitHub Copilot

Industry Keywords

Data GovernanceData Quality RulesRegulated Data EnvironmentsBusiness GlossaryMetadata Management

Tech Stack

Tools & technologies

OraclePostgresSQL

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
Link 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
Collaborate across Riga, Tallinn, and Vilnius to deliver reliable card acceptance services

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
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 technical and nontechnical audiences
Proficiency in written and spoken English
Experience in regulated and large-scale data environments is considered a plus
Experience in data management and tools like Collibra would be an advantage
Familiarity with Collibra, SelecZero, Validio, PostgreSQL, Progress, Oracle, Git, Bitbucket, and GitHub Copilot

Benefits

Comp & perks

Meaningful and challenging work in a highly skilled international team
Supportive and inclusive culture
Modern, ergonomic workspaces
Hybrid working model
Dedicated time for learning during work hours
Access to global learning platforms
Health insurance
Additional vacation days
Third-pillar pension contributions
Employee events
Mental health resources
Other wellbeing benefits