National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

ASOS
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer - Snowflake - £100,000

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

Senior Data Engineer

Job Description

We are looking for aSenior Data Engineers. In this role, you’ll work alongside machine learning engineers and data scientists to develop and implement scalable data solutions that support key business initiatives.

ASOS Technology is evolving to meet the needs of a fast-growing global business. As part of this journey, we are shifting towards a product-focused operating model and delivering innovative solutions to power the next stage of our growth.

As a Senior Data Engineer, you will be central to building high-quality data products and infrastructure that drive insight and innovation. You will work in a dynamic, collaborative environment, helping our platforms leverage data effectively and sustainably. Your work will play a critical role in advancing data capabilities across ASOS.

What You’ll Be Doing

  • Designing and developing scalable, maintainable data solutions using modern cloud-based tools and platforms.
  • Building and optimising data pipelines, systems, and processes to support development and analytics needs.
  • Supporting and enhancing production data applications and infrastructure.
  • Collaborating with product and engineering teams to translate business needs into robust data solutions.
  • Exploring new ways to utilise data, including prototyping, feasibility testing, and performance evaluation.
  • Promoting engineering best practices, automation, and continuous improvement within the team.
  • Staying informed of industry trends and helping to drive innovation through early adoption of relevant tools and practices.
  • Building strong relationships across analytics, science, and business functions.
  • Implementing data quality and observability practices to ensure reliable and accurate data delivery.


Qualifications

We’re looking for experienced Data Engineers with a passion for data and a track record of delivering impactful solutions in complex environments. You should be comfortable working across the full data development lifecycle and within cross-functional teams.



Additional Information

What's in it for you?

  • Competitive salary, pension, and private medical care scheme
  • Performance related bonus
  • Flex benefits allowance - which you can chose to take as extra cash, or use towards other benefits
  • 25 days paid annual leave + an extra day for your birthday
  • Employee discount (hello ASOS discount!)
  • Tech Develops - our internal tech focussed skills development programme to focus on your personal growth as a technologist
  • Opportunity to represent ASOS at industry leading events
  • Opportunity to help shape and drive our DE&I initiatives in Tech (like our WIT movement and Diversity mentoring in Tech)
  • Opportunity to make an impact from day one and work with the latest in cutting edge of technology
National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.