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    Data Engineer- SQL - London, United Kingdom - Serendeputy

    Serendeputy
    Serendeputy London, United Kingdom

    2 weeks ago

    Default job background
    Description
    London, England, United Kingdom - Remote
    Your one-stop-shop for in-person payments.

    Kody, a fast-growing Fintech specialising in bringing online payments and better financial services to brick and mortar businesses, is seeking a talented Data Engineer to join their dynamic team.

    In this role, you will be responsible for developing, constructing, and maintaining the data architecture of Kody's platform.

    You will work closely with cross-functional teams to design and implement data solutions that enable data-driven decision making and support business operations.

    This role requires a deep understanding of data integration, data modelling, and experience working with data pipelines and large volumes of data.

    Kody's data stack for storage and processing currently consists of several tools and technologies, including Postgres, InfluxDB, Kafka, S3, BigQuery, Fivetran, Datadog, and Looker.

    Design, develop, and maintain data architectures and infrastructure
    Collaborate with cross-functional teams to understand data needs and develop solutions
    Implement ETL processes to extract, transform, and load data from various sources
    Create and optimize SQL queries for data analysis and reporting
    Implement and maintain data pipelines and workflows
    Perform data validation and quality assurance tasks
    Monitor and optimize database performance
    Stay up-to-date with emerging trends and technologies in the data engineering field
    At least 3 years of experience in data engineering or a related field
    Strong SQL skills and experience with relational databases (PostgreSQL preferred)
    Working knowledge of data modelling and database design principles
    Experience with scripting languages (Python, Bash)
    Experience with cloud-based data platforms (AWS, GCP, we use both)
    Proficient in data warehousing concepts and methodologies
    Experience with data visualisation tools (Tableau, Power BI, Looker. Remote only, but we meet a few times a year to get together as a team.
    Annual learning and development allowance on training related to your role
    Allowance to spend on your home office set-up (excluding your laptop, monitor, etc which are already part of the job. This allowance is for making your workplace comfy)
    Every year you'll get 25 days of holiday leave plus an extra day of leave for life events like your birthday
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