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    SQL Engineer - London, United Kingdom - Molten Ventures plc

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    Description
    Senior Analytics Engineer


    Department:
    Data


    Employment Type:
    Permanent - Full Time

    Compensation:
    £60,000 - £95,000 / year
    Senior Analytics Engineer

    As part of our team, you'll be at the heart of this mission, utilising cutting-edge technology to create a seamless investing experience for our users.

    We've built an intuitive mobile-first platform for buying and selling shares and ETFs in a range of tax-efficient accounts.

    In 2024 we're continuing international expansion, following our successful entry into the Swedish market and the opening of our new office in Budapest.

    This expansion presents exciting opportunities for career development and innovation.
    "We value diversity and unique perspectives, recognising that different backgrounds enrich our team. You will be responsible for elevating our data warehouse and business intelligence capabilities whilst going deep into complex data modelling projects. You will join a growing central Data team, working with teams across the company, with the goal of enabling better data-driven decisions and efficiency gains. Our team contains specialists in Data Engineering, Analytics Engineering, and Data Science.
    Develop and maintain data models using dbt and SQL that are efficient, scalable, and reliable.
    Encourage self-service analytics and consistent, high-quality metrics by building and maintaining Looker explores and key dashboards.
    Implement data quality monitoring and data validation throughout the data models you build to ensure high reliability.

    Collaborate with stakeholders at all levels of the business to understand their data needs and deliver solutions to meet them.

    Manage stakeholder expectations and communicate project status, risks, and issues efficiently.
    Collaborate with other members of the Data team to continuously improve our stack and drive innovation.
    Advanced SQL and (optionally) experience with Python.
    Experience building scalable, high-quality data models that serve complex business use cases.
    Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).
    Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.
    Ability to work collaboratively with other data professionals, engineers, and business stakeholders.
    We offer a competitive salary plus stock options and lots of other benefits .
    You'll have a stake in the company you're building, with stock options benchmarked to US companies.

    Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you.

    We're very open about what we're working on, and the best places to learn more are our buzzing community forum and our blog.


    To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy here.


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