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    Data Team Lead

    Location: Netherlands - Fully Remote

    Contract Type: Permanent


    Established in 2019, our client is a rapidly expanding technology startup, backed by renowned venture capitalists such as Spark, Canaan, Reid Hoffman, and Breyer Capital. They are focused on revolutionizing global finance, enabling individuals in emerging markets to access digital financial services through their mobile phones. Their flagship product empowers immigrants to send money instantly and fee-free, leading to substantial savings. With a vision to tap into a market surpassing $700 billion, the company has gained recognition as a Unicorn, acknowledged in articles by Reid Hoffman and TechCrunch.


    Our client’s mission is to address inequity by aiding immigrants in transferring money to their home countries, aspiring to become the premier cross-border fintech solution for immigrants.

    The Role:

    As a Data Engineer, you will be responsible for developing components of a state-of-the-art data platform that underpins strategic decision-making processes. Your work will be pivotal to the success of our client, impacting various teams including customer success, growth, markets, product, and finance. You will collaborate closely with cross-functional teams, serving as a bridge between product engineering and data analytics.

    The Team:

    -> Established by Harvard alumni and experienced entrepreneurs.

    -> Comprising high achievers from diverse renowned organizations such as Bain, Bolt, Google, McKinsey, SafeBoda, Uber, and Zipline.

    -> Our team is as diverse as our global mission, representing over 30 languages from 25 countries.


    • Apply an automation mindset and DevSecOps principles to design and enhance data systems and architectures.
    • Integrate with APIs of third-party data sets to facilitate data pipelines and reporting use cases.
    • Build robust data systems and pipelines utilizing SaaS systems such as Amazon DMS and DBT Cloud.
    • Solve complex business challenges by leveraging your technical expertise and in-depth knowledge of the data landscape.
    • Collaborate with data scientists and analysts on multiple projects, ensuring efficient data organization, preparation, and exploration for prescriptive and predictive modelling.
    • Enhance data quality and reliability by exploring innovative methods and techniques.
    • Implement critical data pipelines and contribute to advancing best practices in privacy, data governance, and information security.


    • Proficiency in programming languages such as Java and Python.
    • Hands-on experience with relational databases (e.g., PostgreSQL) and data warehouses (e.g., AWS Redshift).
    • Familiarity with data modeling, data governance concepts, and agile methodologies.
    • Knowledge of industry-standard tools like Stitch, DMS, etc.
    • Strong statistical, analytical, and big data technology skills.
    • Previous experience as a data engineer or in a similar role.
    • Technical expertise in data models and excellent numerical skills.
    • A degree in Computer Science, IT, or a related field; a Master’s degree is a plus, or equivalent experience of seven years.
    Jonathan Perkins

    Posted by

    Jonathan Perkins

    Associate Director

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