Lead Data Engineer

Travel Counsellors Ltd
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Lead/Senior Data Scientist - Ad Tech Locational Data

Lead/Senior Data Scientist - Ad Tech Locational Data

Applied AIML Lead- Python & Data Science Engineering

Data Science Lead / Manager

About the Role

Reporting to the Head of Data, Insights & Analytics, you will lead a team of Data Engineers in designing, developing, and maintaining Travel Counsellors’ data infrastructure.

This Lead Data Engineer role will be multi-faceted, working on data pipelines, our new strategic data platform, and operationalising our analytical/data science solutions.

Principal Accountabilities

  • Support the design and implementation of data pipelines to ensure accurate, consistent, and timely data across our analytical and reporting needs.
  • Work closely with Data Scientists, Analysts, and business SMEs to automate and scale our machine learning and AI capabilities.
  • Support the development of our new cloud-based data platform, transforming systematic data into a business view for reporting and analytics.
  • Take ownership of our existing Microsoft technology (SQL Server, SSIS, SSAS, SSRS) whilst delivering on our migration plans to cloud-based technology.
  • Create and maintain comprehensive documentation for data processes and architectures, providing training and support to team members and stakeholders.
  • Stay updated on industry trends and best practices in data engineering, advocating for continuous improvement within the team.
  • Lead data-related projects, ensuring timely delivery while balancing multiple priorities and stakeholder needs.

Benefits

  • Competitive salary + annual bonus
  • Flexible hybrid working
  • Career development opportunities
  • 25 days holiday (increasing to 28 after 5 years)
  • Enhanced maternity/paternity pay
  • 1 day paid charity day
  • Company events and incentives
  • 3x salary death in service benefit
  • Pension scheme
  • Private medical insurance or healthcare cash plan
  • Free breakfast and beverages

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 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.