Data Quality Specialist

LV=; Bournemouth; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

Join a leading company as a Data Quality Specialist in Bournemouth. In this role, you will develop and monitor data quality processes to ensure data accuracy and adherence to regulatory standards, contributing to the organization's data governance and compliance efforts.

Benefits

30 days' holiday with the option to buy more

Competitive pension scheme

Annual bonus based on performance

Private medical insurance

Flexible benefits package

20% discount on life products

Group life assurance

Employee Assistance Programme

Virtual GP service

Qualifications

• Strong experience in data quality or governance roles.
• Hands-on experience with SQL and familiarity with Python.
• Ability to analyze data to identify patterns and anomalies.

Responsibilities

• Develop data quality rules and metrics across multiple domains.
• Collaborate with data owners and IT to define data quality standards.
• Participate in data quality improvement initiatives.

Skills

Data profiling

Data cleansing

Data validation

Communication

Documentation

Data governance

Data analysis

Education

Experience in financial services

Knowledge of GDPR

Tools

SQL

Python

Azure

Informatica

Talend

Job description

About The Role

We have a new and exciting opportunity to join our Data team as a Data Quality Specialist.

You will be responsible for developing, implementing, and monitoring data quality frameworks, processes and roadmaps to ensure critical business data is accurate, complete, timely, and reliable. This role supports the organisation’s data governance strategy and regulatory compliance by working with data owners, stewards, custodians and business users, along with technology teams to identify and resolve data quality issues across key data domains.

We offer Hybrid working however as this role is linked to our Bournemouth offices, we will require you in on a regular basis (happy to discuss). This role is a 6 month Fixed Term Contract.

Key Accountabilities
•Develop and implement data quality rules, validations, controls and metrics for key data elements across multiple domains (e.g. customer, product, transaction, finance).
•Design and run data profiling, data quality assessments, and root cause analysis processes to identify issues and opportunities for improvement.
•Collaborate with data owners, data stewards, data custodians and IT to define and document business rules, controls and data quality standards.
•Maintain and enhance data quality dashboards and reports to track trends, anomalies, and KPIs.
•Work with data governance, regulatory, and compliance teams to ensure adherence to internal and external data quality standards.
•Participate in data quality improvement initiatives related to regulatory reporting, risk management and modelling, and customer analytics.
•Support the rollout of data quality tools (e.g. Purview but experience of other tools is a bonus, Informatica Data Quality, Talend, Ataccama).
•Collaborate with engineering teams and data custodians to embed data quality checks in pipelines, ETL jobs, and real-time processes.
•Provide training and support to business and technical stakeholders, Data Owners and Stewards on data quality best practices.

Skills and Experience
Essential
•Strong experience working in data quality, data analysis, or data governance roles within the financial services sector.
•Proficient in data profiling, data cleansing, and data validation techniques.
•Hands-on experience with SQL and working knowledge of Python, PySpark, or data wrangling tools.
•Familiarity with modern data quality platforms (e.g. Purview, Informatica, Talend, Collibra DQ).
•Ability to analyse and interpret data to identify patterns and anomalies across large datasets.
•Experience working with cloud data platforms (e.g. Azure, Databricks, Microsoft Fabric).
•Knowledge of data regulations and standards including GDPR, BCBS 239, and Solvency II.
•Strong communication and documentation skills to translate technical findings into business insights.
Desirable
•Experience with data quality in real-time or streaming data environments.
•Understanding of data lineage and metadata management.
•Exposure to data mesh, medallion architecture, or lakehouse patterns.
•Knowledge of data governance frameworks such as DAMA-DMBOK or DCAM.

Rewards & Benefits
This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
•30 days' holiday, with the option to buy up to 2 additional days
•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
•An annual bonus scheme based on company and personal performance
•Single-cover private medical insurance (with the option for you to upgrade to family cover)
•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
•Up to 20% discount on our life products for you and your immediate family
•A group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
•Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
•Access to our Employee Assistance Programme (EAP) for support when you need it
•A virtual GP service
•Shared parental leave.

About Us

Here at LV= Life and Pensions we love to hear from great people, so don’t forget to connect with us on social media.

We’re proudly an equal-opportunity employer and we highly value diversity and inclusivity.

We don’t discriminate on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We’re also open to conversations about flexible working as part of your application - if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen.

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship in order for your application to be considered.

Please note that any successful internal colleagues will be offered a secondment opportunity. The secondment policy is available on the intranet for internal colleagues.