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    Senior Engineer, Data Engineering - London, United Kingdom - Checkout

    Checkout
    Checkout London, United Kingdom

    6 days ago

    Default job background
    Description
    Our mission is to enable businesses and their communities to thrive in the digital economy.

    We're the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others.

    Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love.

    We're building diverse and inclusive teams around the world - because that's how we create even better experiences for our merchants and our partners.

    And we need your help. Join us to build the digital economy of tomorrow.
    We have openings in both our Commercial Analytics and Product Analytics squads.

    If joining the Commercial Analytics team, you will work with a variety of data sets coming from multiple teams and systems including CRM, Customer Support, Client Services and Financial systems, and be the owner for critical data products that underpin our business and commercial planning as well as operational excellence.

    You will work closely with product managers and product data scientists to shape the product's evolution at Checkout.

    In both cases, you'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas.

    You'll have end-to-end ownership of multiple data products from design to implementation and operationalizing them

    Hybrid Working Model:
    All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
    Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake
    Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting
    Continuously discover, transform, test, deploy and document data sources and data models
    Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews
    Proven delivery experience as a data, business intelligence or analytics engineer
    Hands-on proven data modeling and data warehousing skills demonstrated in large-scale data environments
    Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD)
    Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)
    Snowflake, AWS, Google Cloud, Microsoft Azure
    Passionate about sales, finance, customer, marketing and/or product analytics data
    Good attention to detail to highlight and address data quality issues
    Hiring hard-working people and giving them a community to thrive in is critical to our success.
    Our Culture video
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