Senior Big Data Engineer - AI Forecasting

ASOS
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Architect - Databricks

Senior Data Engineering Consultant

Data Engineer

Senior Data Architect - Databricks

Lead Data Engineer (AD -Consulting) - Exclusive

We are looking for a Senior Big Data Engineer to join our crossfunctional AI Forecasting team. You will work alongside machine learning engineers and scientists to solve problems and productionise interesting solutions that leverage cutting edge tech.

ASOS Technology is going through an exciting period of transition towards product operating model this includes several strategic programmes to deliver the amazing technology and business solutions to support our ambitious global growth plans.

ASOS is a unique and forwardthinking company which understands the data opportunities and technology has on driving the business forward. The Digital Data Engineering team is responsible for providing high quality scalable data solutions across the ASOS Digital Domain advocating best practices modern technologies and educating development teams.

As a Data Engineer youll be handson delivering business critical projects and processes helping the digital platforms to fully take advantage of their data while ensuring continuous product improvement best practices usage and ongoing development of engineers through pairing. From problem solving to new concept ideas you have the genuine opportunity to unleash your full potential and creativity on a variety of ASOS Data engineering projects.

What youll be doing:

  1. Developing solutions using Microsoft Azure and Databricks to the highest standard in a way that favours a simple and maintainable approach over a complex one is tested at every step on the path to production using the appropriate tools and practices is deployable using automated tooling only and is suitably instrumented to meet core operational and business monitoring needs.
  2. Optimising Data pipelines frameworks and systems to facilitate easier development of data artifacts.
  3. Supporting production applications such as Data Pipelines Core data infrastructure etc.
  4. Developing proof of concepts by exploring innovative ways to utilise our data and presenting findings to Product teams. This also involves conducting feasibility testssuch as performance evaluations data modelling cost analysis and etc
  5. Working with engineering team leads and Product managers to set and maintain standards and development practices that promote high delivery cadence without impeding robust scalable and quality solutions.
  6. Working with an agile cross functional team taking responsibility for the engineering team deliverables and quality.
  7. Keep up to date with emerging data technologies and industry trends with a view to bringing business value through early adoption.
  8. Building strong and productive relationships across business science analytics and engineering partners.
  9. Implementing contributing and automating Data Quality and Observability checks over key data and pipelines. Ensuring Data Quality results are proactively surfaced to source teams to act.


Qualifications :

What you will need:

  1. Were looking to meet experienced Data Engineers who live and breathe Data who seek to take this best practice and use it in a dynamic environment while making waves in the industry.
  2. Indepth knowledge in most of the following technologies:
    • Proficient in Spark/PySpark with handson experience.
    • Azure data related technologies such as Azure Databricks Azure Data Factory Azure Event Hubs and Azure Service Bus.
    • Solid programming skills in Python or Scala and strong command of SQL.
    • Experience with testing frameworks like pytest ScalaTest or similar.
    • Open table formats such as Delta Iceberg or Apache Hudi.
    • Experience in leveraging CI/CD workflows to automate the building testing publishing releasing and deployment of code using tools like Azure DevOps GitHub Actions and distributed version control systems such as GIT.
    • Understanding of cloud infrastructure and Infrastructure as Code (Terraform or Bicep)
  3. Excellent communication skills.
  4. Good analytical and problemsolving skills.
  5. Broad expertise in the delivery of data product solutions.
  6. Commitment to provide a high level of customer service to internal and external users.
  7. Proven experience in the successful delivery and ongoing maintenance of complex high volume high performing and highquality software systems.
  8. Experience of implementing/supporting cloudbased solutions.
  9. Familiarity with agile methodologies such as Scrum or Kanban.

Nice to have skills:

  1. Experience in retail and/or ecommerce.
  2. Understanding of Big Data and Distributed Computing.
  3. Understanding of streaming technologies (Spark Structured streaming Apache Flink etc)
  4. Other programming languages: PowerShell Bash.
  5. Understanding of Databricks Ecosystem (Unity Catalog Workflows Delta Live Tables).
  6. Understanding of any Data Observability or Data Quality Framework.


Additional Information :

Whats 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

Why take our word for it Search #InsideASOS on our socials to see what life at ASOS is like. 

Want to find out how were tech powered Check out the ASOS Tech Podcast herePrefer reading Check out our ASOS Tech Blog herehttps://medium/asostechblog. 


Remote Work :

No


Employment Type :

Fulltime


Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Experience:years
Vacancy:1

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.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

🍪 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.