Senior Data Engineer

Working in Partnership for a happier world – our shared Purpose that guides us in everything we do and inspires 3 important principles; happier people, happier business, happier world. The John Lewis Partnership is a truly unique business, one that seeks to make a positive difference to the lives of everyone.

What’s the role about?

Working in Partnership for a happier world - our shared Purpose that guides us in everything we do and inspires 3 important principles; happier people, happier business, happier world. The John Lewis Partnership is a truly unique business, one that seeks to make a positive difference to the lives of everyone.

As the UK’s most successful omni-channel retailer, E-Commerce is a key part of Our Business - we run two of the busiest websites in the UK, driving a significant proportion of our sales. Our Engineering practice includes 60+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning.

Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies. This role is known internally as Product Engineer (PL6)

What you’ll be doing?

This is an opportunity to join our John Lewis Partnership Data Platform (PDP) team working as a Senior Data Engineer. 

You will be using your excellent Data Engineering skills and experience in designing, implementing and supporting secure cloud-based data platforms to enhance our in-house data capabilities.

The vision for PDP is to embed data-driven decision making and analytics at scale, across the Partnership. We recognise the importance of data, and are backing a significant investment in developing the platform.

We are transforming our in-house Data Engineering capability, which has been at the heart of a move to a cloud-native data platform, to become Product delivery focused. Recent successes have been the PDP underpinning customer experience and loyalty outcomes such as myJL Rewards and the relaunch of myWaitrose.

As a Senior Engineer, you will also use your knowledge of Software Engineering to lead the shaping of new projects and support the professional development of less experienced Engineers. 

There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you.

Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. They will thrive in a fast-paced environment and have a focus on quality, ensuring the delivery aligns with the needs of the business, whilst also being supportable and maintainable. You will be a champion for exceptional data DevSecOps for our Partners and customers. 

What you’ll already have:

• Expert skills in building cloud-based data pipelines using data orchestration and workflow platforms. We use Airflow/Cloud Composer with Python but you may have experience of different orchestration/workflow tools or programming languages.

• Advanced SQL skills, with a deep understanding of how to write performant SQL and debug problems

• Experience with a cloud-based relational Data Warehousing product

• Data transformation tools, preferably DBT

• Cloud-Based data platforms, preferably Snowflake or Big Query

• Designing secure data pipelines and fixing security/performance issues

• Identification of data quality issues

• Deploying to at least one major Cloud Platform such as AWS, GCP or Azure

• Continuous Integration/Continuous Delivery

• TDD, pair programming.

• Agile development methods such as Scrum or Kanban

What else you could bring:

• Containerisation, Kubernetes

• Event-driven design

• Gitlab CI, Jenkins, Circle CI, Jira

• Data orchestration and workflow technologies such as Airflow

• Visualisation & reporting tools such as Tableau or Looker

• ETL tools such as Apache Beam or AbInitio

• Knowledge or experience of DataVault (DV2)

• Data Visualisation

• Understanding of Data Management Concepts