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    SQL Engineer - London, United Kingdom - Algolia

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    Description
    At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds

    We're on a mission to make Algolia a data-driven organization, and we're looking for a Senior Analytics Engineer to join our Data & Analytics Engineering team and help us get there.

    The Data & Analytics Engineeringteam empowers Algolia by transforming raw data into trustworthy, well-governed data so that our stakeholders can make better data-driven decisions, using a suite of best-in-class data tools in the modern data stack (ThoughtSpot, Hex, dbt, Atlan).

    This team has a significant impact as we work closely with business analysts on our Sales Analytics, Marketing Analytics, Growth, Product and Infrastructure teams to help them learn about our customers, and find impactful ways to improve Algolia's products and grow the business.

    Our data team is composed of a Data Engineering team (building pipelines and scaling the Lake & Warehouse), and an Analytics Engineering team (building standardised data models and supporting company metrics and BI tools).

    With Algolia's rapid growth, there will be many data-related challenges that will need to be tackledAs a Senior Analytics Engineer, you will build the foundational data models that power Algolia's BI tool (ThoughtSpot)and the data exploration tool (Hex).

    You will drive adoption of the data models through engaging demos and thoughtful documentation.

    By discovering innovative ways to automate our data processes, you will also make teams at Algolia more efficient and effective.

    Building data models with dbt to be used by Analysts on business reports and analyses.
    Coordinate with the Salesforce team and the Data Engineering team to enhance business-ready datasets.
    Collaborate with stakeholders to understand business requirements and develop data visualizations
    Drive adoption of well-governed data models among business analysts
    Maintain high data quality in the data models
    4+ years of experience in SQL (Redshift /Postgres preferred)
    ~2+ years of experience designing and building data models in dbt
    ~ Experience defining data quality tests and writing documentation in dbt
    ~2+ years ofexperience with managing data visualization tools (i.e. Thoughtspot, Looker, Tableau, etc.)
    ~1+ yearin working in a Agile Team
    ~ Interest in deeply understanding the data and business requirements.
    ~ Excellent spoken and written English skills.
    ~ Familiarity with data catalogs Analytics Engineering Certification
    LI-Remote
    #

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