TL;DR

Senior Data Engineer (AI/ML): Building and optimizing a data platform with custom infrastructure for scalability and data-driven decision-making, with an accent on optimal pipeline architectures and AI/ML integration. Focus on transforming diverse data sources into actionable insights and supporting strategic initiatives through efficient data utilization.

Location: Remote from Bulgaria

Company

%hirify_global% is a custom product engineering company that partners with multinational organizations and scaling startups, providing skilled developers and consultants to solve complex business challenges.

What you will do

Take full ownership and responsibility for Balance’s data stack.
Create and maintain optimal data pipeline architecture.
Implement AI and ML modules to support applications.
Build infrastructure for optimal extraction, transformation, and loading of data using SQL and AWS big data technologies.
Develop analytics tools to provide actionable insights into business metrics.
Identify, design, and implement internal process improvements through automation.

Requirements

Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
5+ years of professional Data Engineer experience, preferably from Fintech companies.
Strong proficiency with data modeling, data warehousing, and building ELT/ETL pipelines.
Experience with SQL, NoSQL databases, and cloud platforms (preferably AWS).
Experience with Cloud DBs (Snowflake/Redshift) and ETL tools (Fivetran/Rivery/Airbyte).
Excellent problem-solving, analytical, and communication abilities in English.

Culture & Benefits

Regular salary reviews and internal mobility program.
Tailored education path including full access to Udemy and certifications.
25 paid days off (20 vacation + 5 sick leave).
Additional health insurance.
100% company-covered Multisport card with family discounts.
Work with cutting-edge technologies in a collaborative One Team culture.