Data Engineer

Description:

We are looking for a Mid–Senior Data Engineer to join our team and contribute to the development of robust, scalable, and high-quality data solutions.

This role blends hands-on data engineering with analytical expertise, focusing on building efficient pipelines, ensuring data reliability, and enabling advanced analytics to support business insights.

As part of our team, you will work with modern technologies such as Snowflake, DBT, and Python, and play a key role in enhancing data quality, implementing business logic, and applying statistical methods to real-world challenges.

This position offers the opportunity to work in an innovative environment, contribute to impactful AI-driven projects, and grow professionally within a collaborative and supportive culture.

Responsibilities:

  • Build and maintain data pipelines on Snowflake (pipes and streams)
  • Implement business logic to ensure scalable and reliable data workflows
  • Perform data quality assurance and checks using DBT
  • Conduct exploratory data analysis (EDA) to support business insights
  • Apply statistical methods and decision tree techniques to data challenges
  • Ensure model reliability through cross-validation

Requirements:

  • Proven experience with Snowflake – hands-on expertise in building and optimizing data pipelines.
  • Strong knowledge of DBT – capable of implementing robust data quality checks and transformations.
  • Proficiency in Python, with experience using at least one of the following libraries: Pandas, Matplotlib, or Scikit-learn.
  • Familiarity with Jupyter for data exploration, analysis, and prototyping.
  • Hold a B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering, or related fields
  • Be able to communicate in English at the level of C1+

We offer:

  • Long-term B2B contract
  • Friendly atmosphere and Trust-based managerial culture
  • 100% remote work
  • Innovative Environment: Work on cutting-edge AI technologies in a highly impactful program
  • Growth Opportunities: Opportunities for professional development and learning in the rapidly evolving field of AI
  • Collaborative Culture: Be a part of a diverse and inclusive team that values collaboration and innovation
  • Participate only in international projects
  • Referral bonuses for recommending your friends to the Unitask Group
  • Paid Time Off (Vacation, Sick & Public Holidays in your country)

Required skills experience

Snowflake 4 years
Python 4 years
Pandas 2 years
matplotlib 2 years
scikit-learn 2 years
Jupyter Notebook 2 years

Required languages

English C1 - Advanced
AWS, SQL, Talend, Alteryx, data vault
Published 26 September
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