Merchandiser

Edenthorpe
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Online Product Lister/Merchandiser
£23,146.24 per year
Job description
The Online Product Lister plays a vital role in generating income for Scope to support disabled people and their families. A key part of this role is listing a variety of donated items for sale on Scope’s online selling channels.
Fixed term for 6 months - 17 hours per week
Location - Based at Scope's Doncaster shop - Thorne Road Retail Park, Home by Scope Unit 3A, Doncaster DN2 5DX
The role
This exciting new role will be based in Scope's Doncaster shop and will be responsible for completing high quality listings through accurate photography and detailed descriptions from donated goods.
The role will involve listing a variety of different products including home and garden, clothing, DIY and seasonal products. Product market research and price checking are also key responsibilities of this role.
About you
You will have:


  • Good communication skills, including the ability to write copy and create high quality listings.

  • The ability to research products online and work to daily targets.

  • The role requires continuous manual handling of stock in volume, daily. It will require a reasonable level of fitness and exertion, including carrying stock on a regular basis.

Please make sure you explain in your application, with examples, how you can meet these important skills.
We ask you to show an appreciation of Scope’s values and our ambition of creating equal futures with disabled people.
Our values - pioneering, courageous, connected, open, fair
By living our values and trusting each other, we empower our colleagues to make decisions. By giving our colleagues freedom and space to spark creativity for innovation, we can push boundaries, change mindsets and be empowered to change the game with grit and determination and a sense of urgency.
Scope benefits
We believe hard work deserves reward and recognition. We offer a wide range of benefits including:


  • 35 days annual leave

  • flexible working (where we can)

  • company pension

  • excellent training and career development

  • strong colleague networks across disability, LGBTQ+, race equality, carers, women and young colleagues

  • Wellbeing incentives like a discounted gym membership, cycle to work scheme, and much more.

One in four of us in the UK are disabled and we are a diverse, proud, and vibrant community. We’re here to create an equal future with all disabled people. We campaign to transform attitudes to disability, tackle injustice and inspire action. We are creating a powerful movement of disabled people, allies, organisations and businesses.
Together we will be unstoppable. For more information go to our website.
Please note that successful candidates will be subject to an enhanced DBS check.
We welcome all applications by 11:59pm GMT on Thursday 12 June 2025

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.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.