Data Engineer Specialist

• Maintain a robust technical data foundation supporting business-defined rules, in collaboration with Data Owners and Data Stewards.
• Define and enforce data guidelines, naming conventions and technical design patterns; perform regular reviews of implementations to prevent inconsistencies.
• Drive and document end-to-end data lineage (data flows, transformations and consumption) and maintain associated technical documentation.
• Own technical aspects of data integrity and data quality; investigate and resolve data-related incidents and recurring issues; implement preventive measures.
• Operate a structured governance process for changes related to database schema (DDL) and service/API data contracts (review, traceability, versioning).
• Reverse-engineer and analyze existing implementations to identify lineage and/or quality issues and implement fixes.
• Lead or review conceptual and physical data modeling activities and ensure mode ling quality and consistency.
• Contribute to and/or oversee data migrations and data transformations across systems and applications.
• Design, build and operate solutions on MSSql, SyBase, Oracle and Azure SQL (Azure SQL Database and/or Azure SQL Managed Instance) with focus on performance, reliability and cost awareness.
• Ensure strong operational standards for indexing and query performance tuning, backup/restore and resilience strategies, security hardening (least privilege, auditing, encryption), monitoring and proactive incident prevention.
• Automate database operations and change management using CI/CD-friendly practices and database change automation tooling.
• Inventory of covered data domains within the unit scope (systems, databases, key entities and interfaces) and an agreed documentation structure.
• Data standards package: conventions, design patterns and review checklists for schema and data contracts.
• Lineage artefacts: documented lineage per domain (including transformation points) and a maintenance process.
• Change intake and request/response process: workflow, templates and SLAs/expectations (as applicable) for handling stakeholder requests such as new REST endpoints.
• Operational runbooks and automation assets (pipelines/scripts) for database change management and monitoring integration.

• Bachelor’s in Computer science or other relevant field.
• 11+ years of relevant working experience
• Strong experience as a Senior Database Engineer in enterprise environments.
• Demonstrated experience with technical data governance practices (standards, controls, traceability) and working with governance stakeholders (Data Owners / Data Stewards).
• Experience investigating data lineage and data-quality issues across distributed systems.
• Experience reviewing service/API contracts and their alignment with database models.
• Strong SQL skils and ability to reason about data structures, integrity and complex transformations.
• Practical experience with data mode ling and with mapping models to services and data contracts.
• Hands-on experience with Azure SQL (Database and/or Managed Instance), including performance tuning, security and production operations.
• Experience with CI/CD database change automation tooling, like Liquibase, and monitoring stacks.
• Experience with catalog/lineage tooling.
• Proven ability to write and maintain clear technical documentation.

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