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Intellias Bulgaria

Strong Middle Data Engineer

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Fully Remote - Data Science Fully Remote

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Data Science 220
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    Tech Stack / Requirements

    We are looking for a passionate data engineer to help our product and modelling teams develop asset level and exposure data assets, as well as improve name matching abilities.

    What project we have for you

    Our modular climate risk offering is built to meet the complex needs of insurers, banks, corporates, and real estate investors. Through the SaaS platform, Location Risk Intelligence, we deliver an advanced geospatial solution that empowers clients with location-specific climate risk data worldwide, enabling them to make informed decisions on climate risk reporting, underwriting, and investments.

    What you will do

    • Research, structure and analyse the creation of an asset level data asset from publicly available and purchasable datasets – or through the usage of GenAI capabilities – to improve a new climate risk solution analysing the physical climate risks of a universe of listed and unlisted companies
    • Identify commercial or industrial occupancy of different POIs via publicly available or purchasable datasets to provide building-specific information at a global scale
    • Improve the accuracy of existing name matching algorithms and overcome accuracy and performance limitations
    • Help to enhance, clean and structure large datasets for different use cases (e.g. Real Estate Investment Trusts, Company Datasets, Biodiversity Areas)
    • Support with ad-hoc client requests that require data processing & cleaning, and help create data analysis examples for content marketing purposes
    • Work closely with the product and modelling teams overseeing the solution development to ensure high-quality delivery
    • Ensure documentation of technical project aspects, including methodology, model and software code

    What you need for this

    • 3+ years of hands-on experience in data engineering
    • Strong knowledge of data analysis, GenAI, as well as asset level and exposure datasets
    • Strong knowledge of name matching algorithms
    • Extensive experience working with large datasets
    • Proficiency in relevant programming languages (e.g. Python, SQL, R, MATLAB)
    • Proficiency in relevant data analysis tools (e.g. Databricks, Spark)
    • Experience and knowledge of applied climate risk analysis in the financial and corporate sector an added benefit
    • Strong analytical mind, problem solving skills and ability to think creatively
    • Team player with strong motivation for interdisciplinary and intercultural collaboration

    What it’s like to work at Intellias

    At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

    We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

    We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

    Submit your application