Asset Data Manager

Macclesfield
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

AWS Data Engineer (contract)

Data Engineer

Data Engineer

Azure Data Engineer

Data Engineer / Analyst

Asset Data Manager

Macclesfield

£50,990 per annum

Full Time, Permanent

Closing Date: 9th May 2025

We’re a housing provider in Macclesfield with over 5,000 properties across East Cheshire and the surrounding areas. We’re ambitious with plans to build more homes, regenerate local areas and invest in our properties. We provide housing to those in housing need and aim to be a great landlord for our customers.

A fantastic opportunity has arisen for an Asset Data Manager to join our team. The key responsibilities of the role will be to analyse property related data to extract insights and support decision-making. You will be responsible for Collecting, cleaning, and organising property data from various sources and performing statistical analysis and interpreting data trends. You will be expected to create visualisations and reports to present findings to colleagues. You will also be Identifying patterns and making recommendations and challenge based on data analysis.

We can offer you:



28 days holiday per year plus birthday leave and Bank Holidays

*

A great pension scheme that’s tailored to suit your needs

*

Agile working providing homeworking and flexibility of working hours.

*

A focus on your health and wellbeing including access to our Health Cash Plan offering a variety of benefits and discounts.

*

Training and development opportunities – let us help you reach your career goals.

*

A modern office with a friendly working environment

To succeed you’ll have a Degree level qualification in a numerical subject, or equivalent experience shown through your career. It would also be beneficial for the successful candidate to have a high level of programming skill in SQL and experience of using SSRS reporting and ideally one other dash-boarding technology such as Power BI or Tableaux. For full Requirements of the role please see the job description attached to the advert.

Our values are at the core of everything we do, so we are looking for someone who’s values align with ours and will embed these too! It’s an exciting time to join the Trust so if you would like to play a part as our Asset Data Manager, we’d love to hear from you

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 Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

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

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.