Why This Role Stands Out
This hybrid role offers an exceptional opportunity to lead data quality initiatives within a renowned financial services organization, with a competitive £100,000 salary and strong benefits. You will thrive here if you possess a passion for data accuracy and a technical background, enabling you to influence stakeholders and drive impactful change. Embrace this chance to shape data governance and elevate data integrity within a dynamic environment.
Quick Overview
Job Description
A leading Financial Services organisation undergoing a large scale data transformation is looking to hire an experienced Data Quality Manager on a permanent basis. The role offers a salary of £100,000 plus a strong benefits package and flexible working.
This role will suit a technically credible Data Quality leader with a genuine passion for data quality, accuracy and trust. You will work closely with data engineers and platform teams to embed pragmatic governance and quality controls into delivery, while influencing stakeholders across the business and possess a commercial mindset.
This is a hands on technical leadership role, combining data quality and governance ownership with practical engineering input. You will lead a small team and partner with data engineers and operational SMEs to embed best practice across data quality, governance and data management.
Role remit
- Own and evolve the data governance framework within an engineering-led environment
- Define governance standards, guardrails, data contracts and SLAs
- Partner with Risk, Audit, Data Protection and Legal to meet compliance requirements
- Work with data engineering teams to embed data quality into pipelines and workflows
- Provide hands-on guidance on data modelling, reconciliation, metadata and best practice
Experience required
- Strong background in Data Quality, Data Governance and Data Management within a modern data engineering environment
- Hands-on experience with cloud data platforms, Azure, SQL, Python and orchestration tools
- Proven experience embedding data quality controls across data pipelines and ETL transformation workflows
- Good understanding of modern data architectures and quality control patterns
- Experience with data profiling, lineage analysis, reconciliation and metadata management
- Strong stakeholder communication skills with the ability to influence engineering teams
If you are an experienced Data Quality Manager with the required background, please respond with an up-to-date CV for review.
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