Data Specialist

Grade Level (for internal use): 09 Role Scope   Data Steward is an individual contributor role responsible for executing core data stewardship activities that ensure the accuracy, integrity, and governance of enterprise data assets. The Data Steward manages end ‑ to ‑ end lineage monitoring, maintains high ‑ quality metadata, enforces policy and control compliance, and supports UAT for database changes and product distribution. Within the European Gas and Power Data team, the role supports the controlled transition of source data into internal databases and downstream delivery pipelines, ensuring raw data is validated, reconciled, transformed, and quality checked before it is made available to internal SMEs and external clients. The role performs detailed data validation, vendor data reviews, and works closely with Technology and Data Operations teams to resolve issues and maintain consistent data standards across systems.   Additionally, the Data Steward contributes to process improvement by driving standardization, enhancing documentation, and supporting the adoption of automation and AI ‑ enabled capabilities to improve data quality, reduce manual effort, and strengthen operational efficiency. We are looking for a process-orientated, methodological thinker with a keen eye for detail. Someone who enjoys dealing with large sets of data and problem solving.     What You’ll Do (Key Responsibilities)   Operational Delivery   Perform data validation checks, lineage tracking, and metadata updates to maintain data quality, integrity, and traceability.   Execute data ingestion, validation, and integration activities in alignment with governance and control standards.   Ensure consistent adherence to enterprise data policies and governance frameworks .   Execute defined controls and compliance requirements to safeguard data integrity and lineage .   Support vendor data reviews and onboarding through data quality assessments, validation checks, and issue resolution.   Maintain data standardization, stewardship documentation, and process artifacts to ensure accuracy and consistency.   Execute medium ‑ complexity stewardship and validation tasks under established guidelines, escalating exceptions when required .   Respond to client data queries, resolving issues and coordinating issue triage with Operations and Client Services teams.   Collaborate with Technology teams on defect resolution, enhancement requests, and UAT for backend data and dataflow changes.   Contribute to automation and AI ‑ enabled improvements that enhance efficiency and strengthen stewardship capabilities.   Investigate, validate , troubleshoot, and support controlled updates to transformation scripts, data quality rules, and pipeline logic using Python, SQL and PySpark , ensuring automated processes continue to run to schedule producing accurate outputs.   Support onboarding of new datasets required by SMEs by reviewing source structures, validating expected outputs, identifying data quality risks, and coordinating required pipeline or source data changes within the existing architecture.     Process Excellence    Support User Acceptance Testing (UAT) by validating data, coordinating test execution, and assisting with defect identification and resolution.   Ensure adherence to governance, data management standards, and operating procedures by following defined controls and compliance requirements.   Maintain high ‑ quality documentation by updating process flows, data definitions, data dictionaries, and other stewardship artifacts to ensure audit readiness and operational clarity.     Stakeholder Management   Collaborate with Data Operations and Technology teams to support governance activities, quality controls, source amendments, validation outcomes and issue remediation while serving as a key liaison between governance expectations and day ‑ to ‑ day execution   Support Product and Technology teams