Senior Data Steward

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We are seeking for a Senior Data Stewards for our client from the banking sector.

Job description:

• Supported data governance, data quality, and regulatory compliance initiatives within the banking sector.
• Contributed to BCBS239 implementation by identifying and resolving data quality issues.
• Maintained and enhanced business glossaries to ensure consistent data definitions across the organization.
• Implemented and monitored data quality controls to improve data accuracy and reliability.
• Defined and maintained end-to-end data lineage to support regulatory and business requirements.
• Collaborated with business and technology stakeholders to strengthen data management practices.
• Supported the enhancement of regulatory reporting processes and data governance frameworks.
• Ensured compliance with internal data governance standards and regulatory requirements.
• Facilitated cross-functional cooperation to improve data ownership, stewardship, and accountability.

• Experience in data governance, data management, or similar roles
• Banking or financial services industry experience
• Strong SQL skills
• Data analysis capabilities
• Understanding of data warehousing and reporting
• Knowledge of database structures
• Experience with MS Office
• Experience with JIRA, Confluence
• Ability to translate business needs into technical requirements
• Fluent English (written and spoken)

Nice to Have Skills:

• Regulatory reporting experience
• Knowledge of BCBS239
• Business knowledge of banking products, systems, and processes
• Experience with data lineage frameworks

• Diverse and technically challenging projects.
• Flexible working hours and a hybrid or remote workplace model.
• Flexible schedule and an Agile/SCRUM environment.
• Technical equipment that you can choose.