Data Quality Engineer

The Team & Focus of the Role

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.

In return, beyond your base salary you will be included in:

• A discretionary bonus scheme
• A generous holiday scheme which commences at 25 days with a sliding scale up to 30 days plus an additional day for your birthday, and additional days to cover the festive period!
• Enhanced maternity, paternity, adoption and shared parental leave
• An online money saving portal
• Death In Service cover, alongside access to an Employee Assistance Programme which includes health appoints for you and your family
• Volunteering Leave equating to 2 days per year (pro rata if you're part-time)

Duties will include:

• 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.

The successful candidate will have

• 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.

Why Fisher German?

We've been around for a while, but it doesn't mean we are behind the times! Across our office network we offer a hybrid working approach to help our colleagues design their working day to suit their diaries. Some days you might be in the office enjoying a collaborative team day, and other days might see you focussing on project work at home. Wherever you choose to work, you'll be part of a social and digitally connected workforce with the chance to get involved in a variety of activities, like sports events, pop-up bars, BBQs, CPD days, live leadership updates on Zoom, picnics in the park and lots more.

What's not to love? We work hard but we also have lots of fun! If that sounds like something you would enjoy, then please get in touch.

We have a history going back as far as 1830 but have been Fisher German since 2000. We operate UK wide advising and managing a range of client portfolios with national visibility across all the 6-property market sectors; rural, commercial, development, residential, infrastructure services and sustainable energy.

Bring Yourself to Work

It's simple really, we are passionate about what we do, and we want you to be driven to succeed with us. For this to happen, you need to feel supported and included which is why we're proud to be an Equal Opportunities Employer.