Science Teacher - September start

Northenden
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

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

Java Developer with SQL & GIT

Data Engineer

Data Engineer (Online Monitoring)

SCIENCE TEACHER – SOUTH MANCHESTER

Location: South Manchester, UK

Start Date: September 2025

Ignite curiosity, spark discovery, and shape scientific minds...

We are looking for a dynamic and enthusiastic Teacher of Science to work in a forward-thinking school in South Manchester. Whether your specialism is Biology, Chemistry, or Physics, this school offers a fantastic platform to teach across KS3 and KS4.

Key Responsibilities:

• Plan and deliver engaging lessons.

• Assess and monitor progress.

• Support curriculum development.

• Contribute to a positive learning environment.

Requirements:

• QTS or equivalent qualification.

• Relevant subject teaching experience.

• Strong behaviour management skills.

• Commitment to student development.

We Offer:

• Supportive school leadership.

• Ongoing CPD opportunities.

• Modern facilities and resources.

• A rewarding, long-term opportunity.

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 an enhanced DBS on the update service.

Apply Now:

If you would like to know more about this specific role, or simply wish to apply directly, please get in touch with Orien Salehi Mojdeh on (phone number removed) or via email at (url removed). Alternatively, you can submit your up-to-date CV through the application link

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.