Senior Data Engineer - Data Science Platform

JobCubby; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Employee discount

Personalised learning

Flexible benefits allowance

Private medical care scheme

Discretionary bonus scheme

25 days paid annual leave

Extra celebration day

Employee sample sales

Job summary

ASOS is seeking a Senior Data Engineer to design and implement scalable, reusable data pipelines and platform components. You will drive standardisation for ingestion, transformation, and serving layers across data domains, enabling high-quality datasets and reliable data solutions.

Collaborating with Data Scientists, Analysts, and Engineers, you will promote CI/CD, data quality, testing, observability, and metadata management while leveraging Azure, Databricks, and Delta Lake to deliver secure

Qualifications

• Proven experience building scalable data platforms.
• Strong expertise in Azure and Databricks.
• Proficiency in Python and/or Scala for large-scale processing.
• Hands-on with Delta Lake, dbt, and Terraform.

Responsibilities

• Design, build, and maintain scalable data pipelines and platform components.
• Develop reusable templates, frameworks, and tooling for data teams.
• Promote standardisation across ingestion, transformation, and serving layers.

Skills

Data engineering

Azure Databricks

PySpark

Data modelling

Tools

Databricks

Delta Lake

dbt

Terraform

Azure Data Factory

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleYou will design and implement scalable data pipelines and platform components to support data scientists and analysts across the organization. Additionally, you will drive standardization and best practices for data ingestion, transformation, and serving layers to ensure high-quality, production-ready datasets.## RequirementsThe role requires strong experience in building scalable data platforms using Azure, Databricks, and Python or Scala. Candidates must also possess a solid understanding of the end-to-end data lifecycle, including data modeling, CI/CD, and infrastructure as code.## BenefitsEmployee discountPersonalised learningFlexible benefits allowancePrivate medical care schemeDiscretionary bonus scheme25 days paid annual leaveExtra celebration dayEmployee sample sales## Full descriptionCompany DescriptionWe'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.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 DescriptionAs a Senior Data Engineer, you'll focus on designing and implementing scalable, reusable data pipelines, platform components, and data engineering standards that enable reliable, secure, and high-quality data solutions across the organisation.You'll work closely with Data Scientists, Analysts, and Engineers embedded in product teams such as Forecasting, Recommendations, Marketing, Customer, and Pricing - helping them accelerate delivery and improve the quality and accessibility of data by providing a robust and standardised data platform experience.What you'll be doing* Designing, building, and maintaining scalable data pipelines using Python and Scala, leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks).* Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS.* Driving standardisation and best practices across data ingestion, transformation, and serving layers to ensure consistency across diverse product domains.* Enabling teams to deliver high-quality, production-ready datasets by providing guidance, patterns, and hands-on technical support.* Implementing and promoting modern data engineering practices - including CI/CD for data pipelines, data quality validation, testing, observability, and metadata management.* Collaborating with stakeholders to understand data requirements and evolving the data platform to meet business needs.* Partnering with Platform Engineering, ML Engineering, and Security teams to ensure scalable, cost-efficient, and secure data infrastructure on Azure.* Optimising data workflows and pipelines for performance, reliability, and cost efficiency.We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That's why our approach to working together includes spending at least 2 days a week in the office. It's a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.Qualifications* Strong experience as a Data Engineer building scalable data platforms* Deep expertise in Azure (ADF, ADLS, Databricks)* Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing* Hands-on experience with Databricks and Delta Lake* Solid understanding of the end-to-end data lifecycle (ingestion | transformation | serving)* Experience with dbt for transformations and Terraform for infrastructure as code* Familiarity with CI/CD pipelines and modern data engineering best practices* Strong grounding in data modelling, quality, and testing* Experience with monitoring, observability, and performance optimisation* Focus on automation, standardisation, and improving developer experienceAdditional InformationBeneFITS'* Employee discount (hello ASOS discount!)* Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role* Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits* Private medical care scheme* Discretionary bonus scheme* 25 days paid annual leave + an extra celebration day for a special moment* Employee sample sales