Teacher of History

Sheffield
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Job Title: Teacher of History
Location: Sheffield, S5
Salary Range: £155 - £220 per day (Depending on experience)
Start time: Immediate
Contract: Full-time – Until end of the academic year

Do you have a passion for bringing the past to life? A well-regarded secondary school in Sheffield is seeking a dedicated and knowledgeable History Teacher to join their humanities department. This is a fantastic opportunity for an enthusiastic educator who can spark curiosity and engage students through dynamic teaching.

Responsibilities:

Deliver creative and engaging lessons across Key Stages 3 and 4.
Plan and assess in line with the national curriculum and school standards.
Support students’ academic progress and inspire a love for historical learning.
Maintain an inclusive and positive classroom environment.
Work collaboratively with department staff and contribute to curriculum development.
Requirements:

Qualified Teacher Status (QTS) or equivalent.
Strong subject knowledge in History and experience teaching KS3 & KS4.
Excellent classroom management and communication skills.
Ability to motivate and challenge students of varying abilities.
Have an updated CV and an enhanced DBS registered to the update service (or be willing to apply for one).
What We Offer:  

Competitive daily rate of £155–£220, depending on experience.
Supportive leadership team and positive staff culture.
Potential for contract extension or long-term placement.
If you are an enthusiastic and compassionate ‘Teacher of History’ ready to inspire and support students in their learning journey, we encourage you to apply and join our client school in Sheffield!

Please be advised that this role requires a strong knowledge and understanding of safeguarding and child protection and that successful applicants must satisfy all background safer recruitment checks; including providing an enhanced DBS certificate registered on the update service or completing an application for a new check.

As an ethical, inclusive, and independent recruitment agency GSL Education are committed to providing quality teaching and support staff in schools across the UK. 

For more information or to register your interest in the ‘Teacher of History’ role, or to be considered, please click ‘apply now’ to submit your full and up-to-date CV, and one of our dedicated consultants will be in touch

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.

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.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.