Data Governance Specialist (12 Month FTC)

Jet2.com and Jet2holidays
Leeds
4 days ago
Create job alert

We have an exciting opportunity for an experienced Data Governance Specialist (12 Month Fixed Term Contract) to join our central data team at Jet2.com and Jet2Holidays as we continue our journey towards becoming a fully data-driven organisation and embed a data-first culture across our business.

Please note, this is a fixed term contract (12 months) to cover Maternity leave.

As a Data Governance Specialist, you’ll have access to a wide range of benefits including:

  • Hybrid working (we’re in the office 1 or 2 days per week)
  • Colleague discounts on Jet2.com flights and Jet2holidays

At Jet2.com and Jet2holidays we’re working together to deliver an amazing journey, literally! We work together to really drive forward a ‘Customer First’ ethos, creating unforgettable package holidays and flights. We couldn’t do it without our wonderful people.

What You’ll Be Doing

Reporting to our Data Governance Manager, in this role your key responsibilities will be assisting in the rollout of an enterprise-wide data governance framework, with a key focus on one or more of the following areas:

  • You'll build on our established enterprise data catalogue solution, ensuring it continues to evolve as the central source for documenting data assets across the business. This includes owning and maintaining the relationships with Data Owners and Data Stewards in a number of data domains.
  • You'll drive the adoption and implementation of a data quality by design framework which includes people and processes associated with it across all areas of Jet2 and its data domains, as well as defining data standards and data quality rules with your specific data domains, data delivery teams and self-service analytics users to ensure standards are appropriate and embedded into delivery practices.
  • Working with stakeholders across data, security, legal and the business to develop and implement new and existing data practices around the use and management of data both at source and for analytical purposes, notably aligning and supporting our open data policy for all analytical data.
What You’ll Have
  • Experience working in data governance-related roles, which could include data cataloguing or data quality tooling.
  • Excellent communication skills are essential for this role as you will be expected to proactively engage with a wide variety of stakeholders from across our business covering both technical and non-technical roles across all levels of seniority up to and including Director.
Ideally, You Will Also Have
  • Familiarity with data analytics platforms and delivery would be a distinct advantage including experience working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar).

Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Governance Specialist — 12‑Month Hybrid Contract

Data Governance Specialist - Master Data & Compliance

Data Governance Specialist — 6‑Month Contract

Data Governance Specialist (12 Month FTC)

Data Governance Specialist - Hybrid (12-Month FTC)

Metadata & Data Governance Specialist

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.