Job Overview
Location
Croatia, Serbia, Bulgaria, Romania
Job Type
Full-time
Category
Software Engineering
Date Posted
June 22, 2026
Full Job Description
📋 Description
- • Architect, build, and maintain robust ETL/ELT pipelines for both batch and real-time streaming data using modern orchestration tools such as Airflow, Dagster, or Prefect.
- • Partner with Data Science and ML teams to streamline data synchronization, enable feature engineering, and operationalize machine learning models in production.
- • Optimize data infrastructure by automating data workflows and enhancing analytics pipelines using transformation tools like dbt to improve efficiency and reliability.
- • Design and implement synthetic data generation pipelines to support robust model training and ensure privacy-safe testing environments.
- • Act as a strategic partner to Data and ML teams by gaining deep domain expertise and contributing to the definition of high-impact data architecture initiatives.
- • Champion engineering excellence through active participation in Agile ceremonies including sprint planning and retrospectives, and by enforcing best practices in code reviews, CI/CD, and data quality testing.
- • Ensure strict adherence to company security, privacy, and compliance policies by designing systems with role-based access control, data retention protocols, and other governance controls.
- • Develop scalable data models and manage cloud data warehousing solutions such as Google BigQuery, Snowflake, or AWS Redshift.
- • Apply advanced SQL skills to query and manipulate data across both relational (e.g., PostgreSQL) and non-relational databases.
- • Utilize Python at an expert level for data manipulation, scripting, and backend development tasks.
- • Maintain and improve software engineering standards through Object-Oriented Programming (OOP), Git version control, and the creation of scalable, maintainable codebases.
🎯 Requirements
- • Expert-level proficiency in Python for data manipulation, scripting, and backend development
- • Deep understanding of cloud data warehousing solutions (e.g., Google BigQuery, Snowflake, or AWS Redshift) and experience designing scalable data models
- • Advanced SQL querying skills and strong architectural understanding of relational (e.g., PostgreSQL) and non-relational databases
- • Strong background in essential software development practices including Object-Oriented Programming (OOP), Git version control, and building scalable code
🏖️ Benefits
- • Equity participation for all full-time employees
- • Unlimited PTO to support work-life balance
- • Location-specific benefits tailored to country standards and personal preferences
- • Flexible work arrangements including remote work or options to work from Zagreb or New York offices
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Microblink Ltd.
Microblink is a technology company specializing in computer vision and machine learning solutions. They develop SDKs (Software Development Kits) that enable developers to integrate advanced scanning capabilities into their mobile applications. Their core offerings include optical character recognition (OCR) for extracting data from documents and images, barcode scanning for reading various barcode formats, and identity document scanning for verifying passports, ID cards, and driver's licenses. Microblink's technology is designed for ease of integration, offering high accuracy and speed, and is utilized across various industries such as finance, travel, logistics, and retail for tasks like data entry automation, identity verification, and inventory management.
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