Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

The National College
Sheffield
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer Data Science/Java/Python/Unix

Data Science Engineer

Data Scientist / Quant Engineer

Data/Machine Learning Ops Engineer

Lead Data Engineer (Data Science Team)

Senior Data Engineer (Data Science Team)

Job Purpose / Role Overview This role is responsible for the development and operation of the data warehouse stack and data quality, integrating additional data sources and providing processed data for consumption, BI and reporting. A key focus is enabling the business to make data-driven decisions that will support innovation and continuous sustainable growth.

Key Responsibilities • Responsible for the development and operation of the data warehouse stack and data quality, integrating additional data sources and providing processed data for consumption, BI and reporting. • Build and maintain scalable data pipelines written in Python and SQL and ran on AWS/Snowflake • Management and maintenance of the data architecture and configuration. Deployment of resources within the AWS estate to ensure optimal performance, scalability, and cost efficiency. • Taking ownership of data quality within projects • Managing and educating a range of stakeholders when gathering requirements and delivering data projects • Building effective and collaborative relationships with technical and non-technical colleagues • Reacting to change within the business in a positive and constructive way • Documenting processes and data pipelines • Working as part of an Agile (Scrum, kanban) team, and collaborating with other development, product, design and test teams to ensure the best implementation and highest quality product

Requirements

  • Experience working with complex data sets. • Data pipeline development experience in Python (especially using pandas, parsing API responses, posting data to API’s etc.) • Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines • Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred • An understanding of CICD concepts including having a working knowledge of GitHub
  • Skills and Competencies • A strong data mindset • Ability to thrive in a fast paced and dynamic environment • Exceptional SQL skills including an appreciation for performance tuning on a variety of database engines • Excellent communication, collaboration, and problem-solving skills. • An appreciation for the big picture while delivering short/mid-term solutions • Understanding of different data warehouse architectures is preferred (especially dimensional modelling and data vault 2.0 architectures) • Experience with agile methodologies such as Scrum or Kanban, and tools such as Jira and Git 5.
  • Qualifications • Desirable - Bachelor's degree in computer science, data science, software engineering, information systems or related discipline. • Desirable - Certifications in scripting/programming language, such as python or SQL. • Desirable – Certifications in cloud computing on platforms such as AWS

Benefits

  • Hybrid working, with regular collaboration days in our Sheffield HQ
  • Opportunity to work at an established but rapidly growing EdTech scaleup
  • NEST Pensions scheme
  • Buy & Sell Holiday scheme offering an opportunity to boost holiday allowance to up to 38 days annually
  • Access to company Life Assurance scheme
  • SmartHealth - access to 24/7 virtual GP, mental health support, financial advice and more

Who are The National College

The National College are a fast growing and innovative EdTech business headquartered in Sheffield. We are a market-leading and multi-award-winning provider of professional development and software tools that support over 45,000 schools worldwide to ensure compliance and drive up standards. Our cutting-edge platform has revolutionised online training and now boasts the world's largest professional development library for educators! 

The National College is part of the National Education Group.

CancelAdd Benefits

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.