TL;DR

Senior Data Engineer (Data Engineering): Responsible for building and maintaining data pipelines, data warehousing solutions, and data infrastructure with an accent on data quality, scalability, and performance. Focus on designing and implementing data solutions that support the company's machine learning and analytics initiatives.

Location: Onsite in Warsaw, Poland

Company

%hirify_global% is an AI consultancy and solutions provider.

What you will do

Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading (ETL).
Develop and optimize data warehousing solutions.
Implement data quality monitoring and alerting systems.
Collaborate with data scientists and machine learning engineers to provide data for model training and deployment.
Ensure data security and compliance with relevant regulations.

Requirements

Bachelor's or Master's degree in Computer Science or a related field.
5+ years of experience in data engineering.
Strong proficiency in SQL and Python.
Experience with data warehousing solutions (e.g., Snowflake, Redshift).
Experience with big data technologies (e.g., Spark, Hadoop).
Must be located in Warsaw, Poland

Culture & Benefits

Opportunity to work on cutting-edge AI projects.
Collaborative and supportive work environment.
Professional development opportunities.
Competitive salary and benefits package.