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# Data Quality Engineer

- **Company:** Fisher German Llp
- **Location:** Ashby-de-la-Zouch, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Data Warehousing, Monitoring of Systems, Metadata Repositories, Reference Data, Power BI, Standard Sql, Data Streaming, Enterprise Data Management, Cloud Platform System, Snowflake, Data Lineage, AWS Glue, Enterprise Integration, Data Management
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=305b9b00b85acea4

## About the Role

* Experience in Data Governance, Data Management, Data Engineering or related disciplines.
 * Strong understanding of data architecture, data modelling, and integration concepts.
 * Experience documenting data lineage, data flows, and system relationships.
 * Knowledge of data quality frameworks, controls, and monitoring techniques.
 * Experience developing and maintaining data dictionaries and metadata repositories.
 * Strong SQL and data analysis skills.
 * Experience working with data warehouses, ETL/ELT processes, and cloud-based data platforms.
 * Excellent stakeholder management and communication skills.
 * Strong analytical and problem-solving capabilities.

Desirable

 * Experience with data cataloguing or lineage tools.
 * Knowledge of Snowflake, AWS Glue and Power BI.
 * Knowledge of different database management systems and strategies.
 * Understanding of data governance frameworks such as DAMA-DMBOK.
 * Experience supporting regulatory and compliance requirements relating to data management.
 * Familiarity with master data management and reference data management principles.

## Description

We are seeking a highly motivated and detail-oriented Data Quality Engineer to establish, maintain, and enhance the organisation's data architecture, governance, and quality frameworks. This role will be responsible for overseeing and ensuring that business-critical data is trusted, well-documented, traceable, and fit for purpose across all systems and platforms.

The successful candidate will act as the primary owner of key data management artefacts including authoritative source registers, data lineage documentation, data dictionaries, reference data standards, integration registers, and data quality controls. They will work closely with business stakeholders, system owners, application teams, and data consumers to drive consistency, transparency, and confidence in enterprise data assets.

They will also need to align commonly accepted industry data quality practices to the diverse property management operations of the organisation, requiring a flexible approach and ability to work with the business., * Own and maintain the Authoritative (Golden) Source Register, ensuring trusted sources of business data are clearly identified and governed.

 * Develop and maintain system and application mapping documentation showing how data is created, consumed, and managed across the organisation.
 * Create and maintain end-to-end data lineage documentation to provide transparency of data movement, transformation, and consumption.
 * Create and maintain enterprise Data Dictionaries containing technical and business definitions for key data elements.
 * Define data quality rules and set precise metrics for accuracy, completeness, consistency, uniqueness, and timeliness.
 * Define and implement data quality rules, validation controls, and quality thresholds for critical data assets.
 * Profile and cleanse data analyse data structures to spot anomalies, missing fields, or format errors, and design sanitation processes
 * Develop automated monitoring and reporting processes to measure data quality performance.
 * Partner with business data owners, system owners, and operational teams to improve enterprise data management practices.
 * Support data governance initiatives and compliance requirements through the maintenance of accurate data artefacts and controls.
 * Provide guidance and training to colleagues on data standards, lineage, quality management, and governance processes.