English Teacher

Hackney Central
8 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Analyst (PIM)

Data Engineer

Data Engineer

Data Engineer

Level 5 Data Engineer Apprentice

Data Engineer

Ignite a Love of Language in Hackney! Full-Time English Teacher at Outstanding School (September 2025 Start - KS3, KS4 & KS5)

Are you an inspiring and passionate English Teacher ready to immerse young minds in the power of words, literature, and communication? Our Outstanding school in the vibrant and academically successful London Borough of Hackney is seeking an enthusiastic Full-Time Teacher of English to join our dynamic and highly regarded English department from September 2025. This is an exciting opportunity to cultivate a love for reading, writing, and critical thinking across Key Stage 3, Key Stage 4 (GCSE English Language & Literature), and Key Stage 5 (A-Level English Literature, Language, or Combined) within a supportive and ambitious educational environment.

In this rewarding full-time role, you will have the opportunity to:

  • Spark Literary Adventures: Deliver engaging and challenging English lessons that introduce students to a diverse range of texts, from classic literature to contemporary voices, fostering a deep appreciation for storytelling and poetic expression.

  • Empower Confident Communicators: Guide students to develop strong analytical, argumentative, and creative writing skills, enabling them to express themselves clearly and persuasively in various forms.

  • Cultivate Critical Thinkers: Encourage students to analyse language, understand authorial intent, and engage in thoughtful discussions about complex themes and ideas.

  • Contribute to a Collaborative Department: Join a supportive and innovative English department that values teamwork, shared best practice, and a collective commitment to student success and academic excellence.

  • Embrace Diversity: Thrive within Hackney's rich multicultural community, leveraging its diverse linguistic and cultural heritage to enrich the English curriculum and engage all learners.

  • Shape Future Scholars: Play a key role in guiding A-Level students towards further study at leading universities in English, Law, Journalism, and other humanities-rich fields.

  • Contribute to Enrichment: Participate in or lead extracurricular activities such as debating clubs, creative writing workshops, or literary societies, fostering a broader love for the subject.

    We are looking for a passionate and qualified English Teacher with QTS and a strong academic background in English Literature or Language. A proven ability to deliver inspiring and effective lessons that foster critical reading, analytical writing, and a genuine enthusiasm for the subject across all key stages, particularly at A-Level, is essential. If you are ready to make a significant contribution to our outstanding team in Hackney, a borough renowned for its educational progress and innovation, we encourage you to apply for a September 2025 start.

    Ignite a lifelong love of language and literature with us in Hackney – join our dedicated team for a September 2025 start, including A-Level teaching

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.