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Data Engineer

About the role:

You will be breaking the data silos, defining data architecture, building pipelines and transformations, and then expressing the actionable insights via APIs or customer-facing apps. This is a role with a lot of external exposure: You will be regularly sitting down with the end user, either a software engineer who’s building apps based on the platform or a business stakeholder who’s looking to make critical decisions, to show them the art of what’s possible.

On a typical day, you might find yourself engaged in architectural discussions with your colleagues, making sense of massive datasets, or prototyping a custom solution that demonstrates the way to solve problems your customers face. There is a lot of autonomy but also an experienced team to support you in the process.


Up to $7,000 gross


Kyiv, Ukraine

Skills & Experience:

  • Work experience with Python modules and Pandas library; 
  • Data engineering experience;
  • Experience working with 3rd party API services;
  • Clear understanding of ETL/ELT and data curation;
  • Strong experience and understanding of relational and distributed databases (including internals e.g., PostgreSQL, MySQL, etc.); 
  • Experience working with databases using pure SQL queries;
  • Strong experience with AWS (S3, Aurora Serverless, Glue/Athena) and Docker;
  • Strong Python expertise;
  • Hands-on experience with dbt;
  • Hands-on experience with Airflow/Prefect;
  • Experiences in OOP, design patterns, and design principles (SOLID, DRY, KISS, YAGNI);
  • Experience in using code linters such as Flake8 and Pylint;
  • Knowledge of PEP8 standard; 
  • Experience with continuous integration, test automation, and deployment;
  • Good written and spoken English.

Nice to have:

  • Experience with data monitoring and tracing in distributed and service-oriented systems;
  • Experience in distributed systems design and best practices;
  • Understanding of integration with BI tools (esp. Tableau);
  • Jenkins as CI tool and/or ETL orchestrator;
  • Javascript: Node.js + front-end part (ReactJS).


  • Work with the data engineering team and design the data platform;
  • Systematically work on formalizing business processes, customer acquisition, lifecycles, and the overall data framework;
  • Actively participate in the development process;
  • Break the data silos;
  • Define data architecture;
  • Build pipelines and transformations, and then express the actionable insights via APIs or customer-facing apps.


  • Flexible working hours;
  • Direct communication with C-levels;
  • Collaborative, friendly team environment
  • Remote/hybrid work;
  • Company equipment provision; 


  • Maternity and paternity leaves;
  • Proxet Cultural Club events;
  • Company social events;
  • Annual corporate parties;


  • Comprehensive medical insurance and sports benefits;
  • Mental health program with private consultations;
  • Live webinar with therapists;
  • Paid sick leaves;


  • Allowances for professional education;
  • English language courses with native speaker;
  • Internal knowledge-sharing sessions.

project tech-stack

AWS EC2, C++, Cassandra, Hadoop, Java, JavaScript, Leaflet, Postgres, Python, React, S3, Spark
Data Engineer

About Proxet

company information:

We at Proxet believe that employee collaboration is the key to success. Our employees feel valued, listened to, and involved this way, and we are proud to say that our people are our biggest asset!

If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!

Company benefits

  • Work-from-home policy (fully remote option)

  • Insurance coverage and paid sick leaves

  • In-house English classes with native speaker

  • Trainings allowance based on eligibility conditions plus professional certification paid by the company

Our Offices:

Interested? let's get in touch!

Tell us about yourself, then leave a link or upload your portfolio and we will get back to you soon!


    Anna Geletei

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