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    Senior Engineer, Data Engineering - London, United Kingdom - Our Graduates

    Our Graduates
    Our Graduates London, United Kingdom

    1 week ago

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    Description
    The Role of Data Engineer

    As our Data Engineer, you'll play a crucial part in integrating 3rd party customer data into our cutting-edge platform.

    You'll get hands-on experience with Python, Airbyte, DBT, Dagster, BigQuery, and Kafka, making you a key player in our data orchestration processes.

    What you'll be doing as

    Data Engineer:

    Building integrations to import 3rd party customer data using Python and various data orchestration tools (Airbyte, DBT, Dagster, etc.).

    Developing and maintaining data transformations and mappings, ensuring data integrity and efficiency.
    Using Python to write and optimise data integration and transformation pipelines.
    Working with BigQuery and Kafka to manage large-scale data.
    Supporting and diagnosing issues within data pipelines to ensure seamless data flow.
    Collaborating closely with team members on various data engineering tasks.

    Data Expertise:

    A solid foundation in working with data is highly desirable, whether through a relevant degree, university-level projects, completion of a data-focused course, or equivalent work experience in a professional tech environment, such as a role as a data engineer, data analyst, or similar.


    Coding Skills:
    Experience in Python and SQL coding is highly advantageous. Your ability to navigate and manipulate data through these languages will be an important part in this role.
    Data Cleaning and

    Process Mapping:
    Demonstrated capability in cleaning and refining data, coupled with the ability to understand and map out processes.
    It'd be a bonus if you have:
    Knowledge or experience in other programming languages like Java, Scala, Golang, Rust, or Ruby.

    Knowledge or experience in data engineering tools like Airbyte, DBT, Dagster, BigQuery, Kafka, and similar technologies is a significant bonus.

    Co-founded by Mikhail Dubov and Dmitry Isupov in 2015 while at Entrepreneur First, Chattermill was born out of their frustration that it took weeks, sometimes months, for customer research to yield any quality insights.

    When they started what eventually became Chattermill, they had a hunch that they could use the newly available tech of deep learning to help companies find insights amidst messy data.

    Their vision was to take what agencies and cutting-edge brands were doing by hand and automate it.

    Today, our Unified Customer Intelligence platform is used by the world's best-loved customer-centric companies including Uber, HelloFresh, Wise, and more, all of whom can now see, and act on their customer reality.

    Get to know your would-be team – you'll have a call with your would-be manager, Dean Cornish (Engineering Manager – Data Platform), to learn more about the role and show off your experience

    We are obsessed with experience– We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.

    We act as responsible owners– Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.

    Diversity & Inclusion

    We are on a mission to bring more diversity into the business in 2023 and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec.


    Tagged as:
    Analysis, Data, Research
    #
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