Senior Analyst - Data Engineering - Crawley

Virgin Atlantic
Crawley
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Analyst & Data Specialist

Senior Analyst Consultant

Senior Data Analyst, on-site, up to £60K

Senior Data Analyst - £50k - Northern Ireland

Senior Research Analyst - Oil & Gas

Trainee Data Analyst

Senior Analyst - Data Engineering - Crawley Job details Salary: Competitive Hours: Full Time Location: Hybrid working -The VHQ Crawley Contract: Permanent Closing Date: 25th September 2024 In a nutshell Are you ready to lead the way in developing cutting-edge data solutions that drive the future of Virgin Atlantic? As a Senior Analyst - Data Engineering, you will be at the helm of designing, developing, and optimizing ETL processes that ensure our data is not only reliable but also of the highest quality and efficiency. Your expertise will be pivotal as you mentor junior team members, instilling best practices and fostering a culture of growth and excellence. In this role, you will dive deep into exploring new data sources, aligning them with business needs, and implementing rigorous data quality checks that set the standard across the organisation. Your initiatives will continually enhance our data platform, making it more robust and responsive to the evolving demands of our business. Taking the lead in creating and refining scalable, high-performance data models, you will collaborate closely with data scientists and analysts to set and uphold data modelling standards that drive our analytics capabilities forward. As a technical leader, you will shape the future of data engineering at Virgin Atlantic by developing and enforcing best-in-class engineering standards, overseeing impactful projects, and promoting a culture of continuous improvement and innovation. Your collaboration with cross-functional teams and stakeholders will be instrumental in communicating project updates, gathering critical feedback, and refining our processes. Your leadership will not only drive data engineering excellence but also solidify strong partnerships that keep Virgin Atlantic at the forefront of data-driven innovation. If you are driven by a passion for data engineering and eager to excel in a fast-paced, dynamic environment, this is your chance to make a lasting impact at Virgin Atlantic and let your career soar new heights. Day to day Lead the design, development, and maintenance of data engineering solutions to support various business functions. Collaborate with diverse teams to gather requirements and determine data needs. Develop and optimize data pipelines and ETL processes to ensure efficient data flow. Perform data analysis and data quality assessments to identify and resolve issues. Create and maintain data models and databases for reporting and analytics purposes. Implement effective strategies in data engineering and uphold data governance standards. About you Demonstrated ability to lead the design, development, and optimization of data pipelines and models, ensuring high performance and scalability. Previous experience as a data engineer or in a similar role. Proficiency in SQL, Python, and data engineering tools, with hands-on experience in cloud technologies and scalable data warehouses. Databricks and Azure experience is highly beneficial. Understanding of data warehousing concepts and dimensional modeling. Excellent problem-solving and analytical skills. Proficiency in effectively operating within a dynamic, fast-paced and agile work setting. Be yourself - Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (recruitmentfly.virgin.com) feeling confident that we've got your individual considerations covered.

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.