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  • Data Engineer - R&D Team
    New

    Data Engineer - R&D Team

    Warszawa
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B, Permanent
    Operating mode
    Hybrid
    capital.com

    capital.com

    Founded in 2016, Capital.com is a high-growth fintech operating in the investment trading space. Built by traders for traders, we are focused on putting clients first and delivering elite technology to support the ambitious modern trader.

    Company profile

    Tech stack

      Apache Airflow

      advanced

      SQL

      advanced

      Python

      advanced

      PostgreSQL

      advanced

      AWS

      advanced

    Job description

    Online interview
    Friendly offer

    We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.


    We are looking for a Data Engineer to design and develop scalable ETL pipelines for machine learning (ML) models and create an automatisation for the RnD projects we run for marketing. You will be responsible for monitoring ML models, automating and integrating experiments, and supporting our feature store.


    If you're passionate about building robust data infrastructure and have experience working with ML-driven environments, we'd love to hear from you!


    Responsibilities:

    • Develop and maintain scalable ETL pipelines for machine learning models
    • Set up and manage monitoring systems for ML models
    • Build and optimize ETL pipelines for anomaly detection tools
    • Automate experiments and integrations for RnD projects
    • Support and enhance the feature store for ML models


    Requirements:

    • Proficiency in Python for data processing and automation
    • Experience with Apache Airflow for workflow orchestration
    • Strong SQL skills (Redshift/PostgreSQL) for data transformation and storage
    • Experience in writing integrations
    • English proficiency at an intermediate level or above


    Nice to have:

    • Understanding of attribution models and marketing data
    • Experience with PySpark, AWS SageMaker, MLflow, Evidently
    • Familiarity with ML model lifecycle and best practices
    • Google Cloud Platform experience


    What you will get in return:


    • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
    • Work-Life Harmony: Join a company that genuinely cares about you—because your life outside of work matters just as much as your time on the clock.
    • Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
    • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
    • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
    • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
    • Workation Policy: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
    • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.


    Be a key player at the forefront of the digital assets movement, propelling your career to new heights!

    Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity.

    Work alongside one of the most brilliant teams in the industry.

    Undisclosed Salary

    B2B, Permanent

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