Data Engineer

This Position Is Closed


Up to $7,000

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.

Who are we looking for?

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. 

What we offer


  • Design, develop, maintain, and optimize data infrastructure for an organization;
  • Build and maintain data pipelines; create ETL processes; design and implement data warehouses and databases;
  • Ensure the scalability and efficiency of the data infrastructure.



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


  • Maternity and paternity leaves;
  • Proxet Culture 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.

About Proxet

Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time. 

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

Our Offices:

Proxet Ratings On Glassdoor

  • Overall:
  • Culture & Values
  • Diversity & Inclusion
  • Work/Life Balance
  • Senior Management
  • Compensation and Benefits
  • Career Opportunities


Anna Mozharivska

Interested in this closed position?

Leave the information about yourself and we will contact you when we have suitable vacancies!