Senior Data Solutions Architect

Jet2.com
UK
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Senior Cloud Engineer (AWS)

Senior IT Engineer

Senior Software Engineer (GO/PHP)

Senior Software Engineers

Becoming a Senior Data Solutions Architect at Jet2.com and Jet2holidays will allow you to demonstrate, develop and extend your architecture skills. Working within the data function, you’ll be responsible for data solutions aligned to one of our four initiative pillars. You’ll become a domain expert within your pillar, understanding how the business operates within that area, and building relationships to bridge technical and business areas, becoming a trusted technical ally to the business pillar. As our Senior Data Solutions Architect , you’ll have access to a wide range of benefits including: Hybrid working (we’re in the office 3 days per week) Generous Discretionary Profit Share Scheme Annual pay reviews What you’ll be doing: You’ll be involved with new initiatives as they are defined by the business to understand what a high-level solution might look like, identifying areas where we need to define building blocks or new technology, and allowing high-level estimates to be defined. You’ll be able to evaluate technology options and build POCs to support your designs. You’ll become a key member of our data architecture forum and wider architecture forum which helps guide technology choices and building blocks across the whole of our logical architecture function. You’ll work with our architecture colleagues across data and applications to ensure that simple, effective and future-focused designs are created, with data at the very heart of everything that we do. While it's important that you understand technical constraints, capabilities and design-patterns, as well as being able to communicate well with technical delivery teams, this role focuses on technology solutions more so than technical delivery. What you’ll have: Previous experience in a technical role with extensive exposure to data; data architect, data engineer, data analyst, software engineer/testing, DevOps engineer, data scientist, or similar relevant experience. You are solution-driven and have a strong analytical mindset, combined with creative skills. You demonstrate leadership potential with the ability to communicate complex technical concepts to a variety of audiences, both technical and business. You have hands-on experience in projects relating to data solutions (data delivery/management, data lake, system integration, data migration, data warehousing experience with cloud-based data platforms). You have good data modelling experience - you know how to set up data structures to support a delivery, and can contribute towards opinion on data modelling across the enterprise. Sound knowledge on modern data solutions such as data lakes, data platforms, data streaming, and data security best practices. General knowledge of cloud native computing, public hyperscalers (Azure, AWS or GCP). You show an interest in (new) technologies, methodologies, and concepts such as data governance & management, data mesh, data vault 2.0, delta lake, DWH automation, event streaming. 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 LI-Hybrid

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.