Data Quality and Systems Manager

London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Quality and Governance Manager

Data Analyst

Lead Data Engineer

Business Intelligence and Database Lead

Data Quality Manager

Performance & Data Analyst

My client in Greater London are looking to appoint a talented Data Quality and Systems Manager on a Contract basis.

My client are seeking an experienced Data Quality and Systems Manager to lead data governance, system optimisation and data quality assurance across the Housing Directorate. The Directorate manages over 21,000 homes, and this role ensures that strategic and operational decisions are driven by accurate, secure and high-quality data.

What's on offer:

Salary: £327 per day, Inside IR35*negotiable based on experience

*please submit your CV with the rate you require

Hybrid working
Contract type: Contract
Monday - Friday

About the role:

Based in Greater London (Hybrid):

Lead the Data Quality & Systems function, embedding a high-quality, data-led culture across Housing
Develop and implement a pan-directorate Asset Data Strategy supporting investment planning and statutory responsibilities
Oversee system architecture to ensure integration between housing asset systems, finance systems and operational platforms
Provide accurate data and insight to support the HRA Business Plan, Asset Management Strategy and business case development

About you:
You will have the following experiences:

Extensive experience in a similar role
Experience maintaining databases, managing systems and delivering associated contracts
Experience in housing, property or asset-focused environments
Local Authority experience is essential

How to apply

Once your CV is received, if you are successful you will be contacted.
Due to the extremely high number of applications, it may not be possible to contact every applicant. As such, if you are not contacted please assume you have not been successful on this occasion.

About Spencer Clarke Group

Here at Spencer Clarke Group, we pride ourselves on connecting you with the best career opportunities; our experienced Consultants have extensive market knowledge and will also provide expert career advice along the way.

When you join us, you will receive:

Access to a wide range of temporary and permanent opportunities
Free DBS checks
Post Placement Aftercare
Loyalty reward scheme and regular competitions for our agency professionals

INDSCGMM

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.