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    Senior Engineer, Data Engineering - United Kingdom - John Lewis Partnership

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    Description
    We want all of our Partners to have a good work-life balance and we support flexible working.

    This might mean flexible or compressed hours, job sharing or shorter hour contracts, where it is possible to do so.

    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 effective 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.

    Find out more about being a Data Engineer in the Partnership, and the technology we use.

    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 extensive Data Engineering skills and experience in designing, implementing and supporting secure cloud-based data platforms, ensuring high-quality delivery outcomes across our data landscape.

    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.

    As a Senior Data Engineer, you will participate in the shaping and delivery of data solutions to meet the needs of a wide variety of stakeholders from across the Partnership.

    You will be able to propose and build, run and own high quality data products.

    You will have a passion for using technology to deliver innovative and innovative software and data solutions and will have a proven history of working in teams delivering complex, performant, high-quality software.

    We want you to work well 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 and with clear ownership.

    You will be a mentor for exceptional data DevSecOps for our Partners and customers.
    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 with 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
    TDD, pair programming, preferably Python
    Agile development methods such as Scrum or Kanban.
    Data orchestration and workflow technologies such as Airflow
    Visualisation & reporting tools such as Tableau or Looker
    Understanding of Data Management Concepts.

    W orking pattern/flexible working -This is a blended working role, therefore your time will primarily be split between working from home and the London Head Office.

    Being a truly inclusive employer to us means creating an environment which celebrates your contribution, regardless of age, gender, race, ethnicity, disability, sexual orientation, social background, religion or belief.

    We firmly believe that our future success lies in diversity of thought from all Partners and it's integral in our mission to build a happier world.


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