Early Years / Nursery Practitioner

Sydenham
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Early Years / Nursery Practitioner
Ignite Young Minds & Shape the Future! Join Our Adventure!
Are you ready to spark curiosity and nurture growth in the next generation? At Cornerstone, we are more than just a nursery—we're a vibrant playground of possibilities, a dynamic canvas of creativity, and a thriving garden of growth. We're on the hunt for an extraordinary Early Years Practitioner to help us transform tiny seeds into mighty oaks. If you're passionate, dedicated, and ready for a daily adventure, keep reading!
About Us:
Cornerstone Nursery is a spacious haven featuring two fantastic gardens where children can explore and thrive. Our exciting, varied timetable includes activities from painting to music classes and dancing. We love engaging with the community and frequently take trips to local parks to extend our learning beyond the classroom.
Conveniently located just a short walk from excellent transport links and only 12 minutes from Sydenham train station. There is also free street parking!
We cannot offer this position to candidates who do not hold a Level 2,3 or QTS qualification or above.
The Role :

  • Plan and deliver engaging and stimulating activities that promote children's physical, social, emotional, and cognitive development
  • Create a safe and inclusive learning environment that supports each child's individual needs.
  • Observe and assess children's progress, documenting their achievements and identifying areas for improvement.
  • Collaborate with colleagues to develop and implement individualised learning plans for children with special needs or specific learning goals.
  • Foster positive relationships with parents, providing regular updates on their child's progress and addressing any concerns or questions.
  • Maintain accurate records of attendance, incidents, and accidents.
  • Ensure the health, safety, and well-being of all children in your care.
    Requirements :
  • Minimum of a Level 2,3 or QTS Qualification in Childcare and Education is essential.
    • Proven experience working with young children in an educational setting.
    • Excellent communication and interpersonal skills.
    • Ability to work effectively as part of a team.
    • Strong Knowledge of the EYFS.
    • Right to work in the UK.
      If you have the qualifications and a passion for making a positive impact on young lives, we want to hear from you! Please submit your CV and a cover letter detailing your relevant experience

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.