Senior Big Data Engineer

Company Description

We’re ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.  

We exist to give people 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 judgment, and channel your creativity into a platform used by millions.   

Through our Fashion with Integrity strategy we are driving diversity, equity and inclusion across every aspect of ASOS and ensuring every ASOSer can be their authentic self at work.  We want our people to be whoever they want to be, because we believe people who bring their best selves to work, do their best work. 

Job Description

• Supporting the team and ensuring the team are following best Agile and Engineering practises. Completing PR reviews, hosting weekly sprint ceremonies and engaging during retrospectives and refinement sessions 

• Automatically deploying pipelines from Dev-NonProd-Prod, providing support and ensuring that data pipelines are scalable, repeatable, and secure, and can reliably provide the quality and throughput of data required for complex machine learning workloads using extremely large datasets 

• Providing technical leadership support and oversight to an enthusiastic and motivated development team comprised of big data engineers, platform engineers and analysts, to ensure the technical requirements of our numerous stakeholders are met in the most efficient way. 

• Partnering with Data and Machine Learning Scientists, Solution Architects, Principle Engineers and others to deliver real business impact. 

• Coaching and mentoring engineers within the team, and contributing to wider engineering initiatives across ASOS 

• Delivering high-quality software, which is future proof, scalable and in-keeping with ASOS standards, while using the latest tech, such as Azure Feature Store, AML, and Delta Live Tables 

• Research and experiment with emerging data technologies and industry trends with a view to bringing business value through early adoption 

• Joining our regular Tech Develops days to learn new things, take part in internal and external hackathons, share your knowledge and help to drive improvements in engineering. 

• Continually develop and improve our code and technology, whilst playing an active role in the conception of brand-new features for our millions of global customers. 

• Supporting our culture by championing diversity, equity and inclusion strategies and fostering an inclusive, safe and collaborative team environment where engineers feel empowered to contribute. 

Qualifications

• Strong technical capabilities and understanding of Big Data core concepts and technologies, and an ability to communicate complex solutions to both technical and non-technical audiences 

• Cloud experience (Azure/AWS/Google) 

• Comprehensive programming knowledge, with an understanding of OOP principles and cloud engineering practices 

• Python and/or Scala, ideally both 

• Strong experience in source control, GitHub and Azure Repos 

• Deep exposure to Microsoft Azure, including Azure Data Factory, Azure Storage, Keyvault, Azure Databricks and Apache Spark 

• Exposure to CI/CD tools such as Azure DevOps, Ansible and Terraform 

• Experience in building real time/batch data, high throughput processing infrastructure 

• Knowledge of RDBMS, ETL and Data Warehouse Technologies 

• Fully-automated provisioning and application deployment pipelines 

• Infrastructure automation using a scripting language like bash or powershell 

• The ability to balance feature delivery with engineering considerations such as technical debt, and in delivering services that are highly-available, low-latency and scalable 

• Exposure to a microservices architecture 

• Container technologies like Docker, Kubernetes

Nice to have:

• Spark optimization tips and tricks 

• CosmosDB  or equivalent NoSQL databases 

• Knowledge of advanced analytics and insights techniques (e.g. predictive analytics, machine learning, segmentation) 

• Knowledge of deep learning frameworks like TensorFlow, Keras 

• Knowledge of machine learning libraries like MLLIB, sklearn 

• Experience in retail and/or e-commerce 

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

We want our people to be whoever they want to be. That’s why we’re committed to creating a truly inclusive culture at ASOS, but how’re we doing it?

Through our Fashion with Integrity strategy we are driving diversity, equity and inclusion across every aspect of ASOS and ensuring every ASOSer can be their authentic self at work.  We want our people to be whoever they want to be, because we believe people who bring their best selves to work, do their best work.  

We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter. We’ve also recently been placed 8th  in the Inclusive Top 50 Companies Employer List too.

There are safe space employee networks and we host a monthly DEI events series to help support and celebrate all of our people. We are constantly listening to our people, evolving, changing and taking a flexible approach to how we make ASOS truly inclusive.

Our Commitments

We want our people to be whoever they want to be. That’s why we’re committed to creating a truly inclusive culture at ASOS, but how’re we doing it?
 
We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter. We’ve also recently been placed 8th in the Inclusive Top 50 Companies Employer List too. 

We have several employee networks that operate as safe spaces, to help support and celebrate our people, find out more here.  

How can we support you to be your best self? Our Talent team will be happy to provide support e.g. if you need additional time to prepare for an assessment or you have requirements for any part of the interview/hiring process – just let us know by email or phone, whatever works best for you. It’s also our policy to interview all candidates with a disability who meet the minimum requirements for roles they have applied to. 

If you have any questions about the policies we have in place to support our employees (e.g. our parental leave approach), just let our Talent team know.