Science Teacher

Tower Hamlets
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Java Developer with SQL & GIT

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Engineer

Lead Data Engineer

Lead Data Engineer

Science Teacher – Secondary School – Tower Hamlets

***Science Teacher required for Tower Hamlets

***Science Teacher required for Secondary School
***Science Teacher required for September 2025 role
***Science Teacher required for full-time, permanent role
***Science Teacher - MPS – UPS

Are you passionate about inspiring the next generation of scientists? Do you believe in delivering engaging, hands-on learning that brings Science to life?

A welcoming and forward-thinking secondary school in London is seeking a talented and motivated Science Teacher to join their team this September. Whether your specialism is Biology, Chemistry, or Physics, this is a brilliant opportunity to teach enthusiastic students in a school that values creativity, innovation, and inclusion.

The Role - Science Teacher

  • Teach General Science across Key Stages 3 and 4 (KS5 optional depending on experience and subject).

  • Deliver exciting, enquiry-based lessons that spark curiosity and build scientific thinking.

  • Contribute to the planning and development of a dynamic and inclusive curriculum.

  • Engage in departmental projects and enrichment activities like STEM clubs, science fairs, or educational trips.

  • Use data to track progress and support students of all abilities, including those with SEN or EAL.

    Candidate Requirements – Science Teacher

  • Qualified Teacher Status (QTS) or equivalent with a specialism in Science.

  • Strong subject knowledge and a genuine love for your subject.

  • Ability to manage a classroom effectively and build strong relationships with students.

  • Commitment to high standards and improving outcomes for all learners.

  • ECTs and experienced teachers welcome – full support and mentoring provided.

    The School – Science Teacher

  • A supportive and inclusive environment where staff development is a priority.

  • Regular CPD, mentoring, and leadership development for aspiring middle leaders.

  • Access to well-equipped labs and resources to deliver practical Science lessons.

  • A diverse and vibrant student population with a strong ethos of respect and ambition.

    Interested? Apply Now!

    Whether you're an established Science Teacher or an enthusiastic ECT, we'd love to hear from you. This school is committed to helping staff grow and thrive in their careers.

    Apply today or contact us for a confidential conversation about the role

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.