Senior Data Engineer

ASOS.com; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Employee discount (ASOS)

Private medical care scheme

Discretionary bonus

25 days annual leave

Learning & development opportunities

Job summary

ASOS.com is hiring for a data engineering role to design and scale data pipelines powering customer experiences, marketing effectiveness and forecasting.

You will build production-grade data solutions with Python, Spark and Databricks, collaborating with scientists and engineers to operationalise ML models and deliver trusted data across the business.

Qualifications

• Significant experience delivering data engineering solutions within cloud-based environments.
• Strong expertise in Python and production-grade data pipelines.
• Experience with Databricks, Spark and distributed processing technologies.
• Experience designing large-scale data platforms on Azure, AWS or GCP.
• Data modelling, architecture and modern data engineering principles.

Responsibilities

• Designing and building scalable data pipelines that support ML, analytics and data science initiatives.
• Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies.
• Creating and maintaining datasets powering customer, marketing, pricing and forecasting use cases.
• Collaborating with Applied Scientists and ML Engineers to operationalise ML models.
• Designing data models/architectures for trusted data across the business.
• Improving data quality, observability, lineage and monitoring across data products.
• Supporting delivery of media measurement, customer value, pricing and personalisation initiatives.
• Optimising data processing workloads for performance and cost efficiency.
• Driving best practices across software/data/ platform development.
• Providing technical leadership through design reviews and mentoring.
• Working with stakeholders across functions to turn challenges into scalable data solutions.
• Contributing to the evolution of ASOS's ML and data capabilities.

Skills

Python

Cloud data engineering

Data pipelines

Data modelling

CI/CD & IaC

Stakeholder management

Mentoring

Team collaboration

Tools

Databricks

Spark

Azure

AWS

GCP

Job description

We’re 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, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re 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.

Job Description

Join the team responsible for building the data and machine learning products that power customer experiences, marketing effectiveness and commercial decision-making across ASOS.

What you’ll be doing

• Designing and building scalable data pipelines that support machine learning, analytics and data science initiatives.
• Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies.
• Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases.
• Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise machine learning models.
• Designing data models and architectures that enable reliable, trusted and accessible data across the business.
• Improving data quality, observability, lineage and monitoring capabilities across critical data products.
• Supporting the delivery of media measurement, customer value, pricing and personalisation initiatives.
• Optimising data processing workloads for performance, scalability and cost efficiency.
• Driving best practices across software engineering, data engineering and platform development.
• Providing technical leadership through design reviews, mentoring and knowledge sharing.
• Working with stakeholders across Customer, Marketing and Commercial functions to turn business challenges into scalable data solutions.
• Contributing to the long-term evolution of ASOS's machine learning and data capabilities.

Qualifications

We’re interested in people who can demonstrate many of the following capabilities. If your experience doesn’t match every requirement exactly, we still encourage you to apply.

You are likely to have:

• Significant experience delivering data engineering solutions within cloud-based environments.
• Strong expertise in Python and experience developing production-grade data pipelines and data products.
• Experience working with Databricks, Spark and distributed processing technologies.
• Experience designing and operating large-scale data platforms using Azure, AWS or GCP.
• Deep understanding of data modelling, data architecture and modern data engineering principles.
• Experience enabling data science, analytics or machine learning workloads through robust data infrastructure.
• Strong understanding of CI/CD, Infrastructure as Code, automated testing and observability practices.
• Experience working with large-scale customer, marketing, commercial or behavioural datasets.
• Proven ability to lead the design and delivery of complex technical solutions from concept through to production.
• Experience mentoring engineers and helping shape technical direction within a team.
• Strong stakeholder management and communication skills, with the ability to partner effectively with technical and non-technical audiences.
• A passion for solving challenging data problems and enabling teams to make better decisions through data.Experience supporting machine learning platforms, MLOps or model operationalisation.
• Experience with pricing, marketing analytics, recommendation systems or customer analytics.
• Experience working in eCommerce, retail or consumer-facing digital businesses.

Additional Information

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