Senior Data Engineer

ASOS; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading online fashion retailer in Greater London is seeking a Data Engineer to design and develop advanced data pipelines. The successful candidate will leverage Azure services and Databricks, ensuring data quality and automating deployment processes. Requirements include proven experience in cloud-native environments, strong Python skills, and expertise with data governance principles. ASOS offers a range of benefits including employee discounts, flexible leave, and opportunities for personal development.

Benefits

Employee discount (hello ASOS discount!)

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Qualifications

• Proven experience as a Data Engineer in cloud-native environments.
• Strong programming skills in Python and ideally Scala.
• Hands‑on expertise with Azure Databricks and Azure Data Factory.

Responsibilities

• Designing and developing large-scale, high-performance data pipelines.
• Leveraging Azure services and Databricks to orchestrate complex workflows.
• Implementing CI/CD pipelines with Azure DevOps and GitHub Actions.

Skills

Data Engineering

Python Programming

SQL Knowledge

Azure Databricks

Spark

CI/CD Workflows

Data Governance Principles

Tools

Azure Data Factory

Terraform

Git

Apache Hudi

Job description

Shape the future of fashion through data. At ASOS, data isnt just numbers, its the heartbeat of our business. With millions of customers worldwide and billions of interactions every year, were building one of the most advanced data platforms in eCommerce.

This is your chance to work at the intersection of fashion and technology, designing solutions that power personalised experiences, optimise global operations, and unlock insights at scale. Youll be part of a team thats transforming how ASOS uses data to innovate faster, predict trends, and deliver the ultimate shopping experience.

What Youll Be Doing:

• Designing and developing large-scale, high-performance data pipelines for batch and real-time processing.
• Leveraging Azure services (Data Factory, Event Hubs, Service Bus) and Databricks to orchestrate complex workflows.
• Building robust ingestion and transformation frameworks using Spark/PySpark and Python, ensuring data quality and reliability.
• Implementing CI/CD pipelines for automated deployment and testing with tools like Azure DevOps and GitHub Actions.
• Collaborating in an agile, cross-functional team, working closely with data scientists, engineers, and product stakeholders.
• Driving best practices in data architecture, security, and infrastructure-as-code (Terraform/Bicep).

Were ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, youre free to be your true self without judgement and channel your creativity into a platform used by millions.

But how are we showing up? Were proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

About You:

• Proven experience as a Data Engineer in cloud-native environments.
• Strong programming skills in Python (and ideally Scala) plus solid SQL knowledge.
• Hands‑on expertise with Azure Databricks, Azure Data Factory, and Spark.
• Understanding of data modelling, ETL/ELT patterns, and distributed computing.
• Experience with CI/CD workflows, version control (Git), and testing frameworks (pytest, ScalaTest).
• Knowledge of open table formats (Delta, Iceberg, Apache Hudi).
• Familiarity with Infrastructure as Code tools (Terraform or Bicep).
• Proven implementation experience in data governance principles, including data catalogs, lineage, security, and data quality management
• Experience or familiarity with Agentic AI concepts or agent‑based AI solutions is considered an advantage.

BeneFITS

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role