Data Modeller
| Dyddiad hysbysebu: | 19 Awst 2025 |
|---|---|
| Cyflog: | £60,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 18 Medi 2025 |
| Lleoliad: | UK |
| Gweithio o bell: | Yn gyfan gwbl o bell |
| Cwmni: | Stonewater |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | SWRE195049 |
Crynodeb
Do you have a passion for turning raw data into meaningful insight? Are you an experienced data professional who thrives on building scalable models that drive real business impact?
At Stonewater, we’re embarking on a major transformation in how we manage, use, and think about data. As our new Data Modeller, you’ll take a lead role in this journey, designing, implementing, and maintaining the data models that underpin our strategic decision-making and day-to-day performance.
You’ll not only bring technical expertise in data architecture and modelling, but you will also help drive a cultural shift across the business, embedding data and insight at the heart of everything we do.
What you’ll bring
A Degree in Computer Science, Information Systems, or related field.
Proven experience as a Data Modeller or in a similar role.
Excellent analytical and problem-solving abilities.
Proficiency in conceptual, logical, and physical data modelling techniques, including normalization and denormalization.
Clear communication for complex data challenges to non-technical stakeholders.
Strong knowledge of relational database management systems (SQL Server, MySQL) and familiarity with NoSQL databases.
Advanced SQL skills for querying and manipulating complex data sets.
Ability to analyse data to identify trends, patterns, and insights that inform business decisions.
Solid understanding of data governance principles, including data quality, lineage, and compliance.
Familiarity with ETL/ELT processes and tools for data integration.
Knowledge of data governance and data quality framework.
Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document.
Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date.
Discover Stonewater:
Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme.
Our mission is to provide quality homes and services for people whose needs are not met by the open market.
We’re looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people’s lives.
We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation.
Are you ready to #DiscoverStonewater?
At Stonewater, we’re embarking on a major transformation in how we manage, use, and think about data. As our new Data Modeller, you’ll take a lead role in this journey, designing, implementing, and maintaining the data models that underpin our strategic decision-making and day-to-day performance.
You’ll not only bring technical expertise in data architecture and modelling, but you will also help drive a cultural shift across the business, embedding data and insight at the heart of everything we do.
What you’ll bring
A Degree in Computer Science, Information Systems, or related field.
Proven experience as a Data Modeller or in a similar role.
Excellent analytical and problem-solving abilities.
Proficiency in conceptual, logical, and physical data modelling techniques, including normalization and denormalization.
Clear communication for complex data challenges to non-technical stakeholders.
Strong knowledge of relational database management systems (SQL Server, MySQL) and familiarity with NoSQL databases.
Advanced SQL skills for querying and manipulating complex data sets.
Ability to analyse data to identify trends, patterns, and insights that inform business decisions.
Solid understanding of data governance principles, including data quality, lineage, and compliance.
Familiarity with ETL/ELT processes and tools for data integration.
Knowledge of data governance and data quality framework.
Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document.
Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date.
Discover Stonewater:
Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme.
Our mission is to provide quality homes and services for people whose needs are not met by the open market.
We’re looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people’s lives.
We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation.
Are you ready to #DiscoverStonewater?