Data Engineer

Stack

Responsibilities

• ▹Design scalable data pipelines to collect and transform structured/unstructured data
• ▹Partner with business teams to define data requirements for AI use cases
• ▹Develop data models, integrations and data quality controls
• ▹Ensure data availability, reliability, security and governance
• ▹Work with AI engineers and product owners to prepare data for use
• ▹Monitor pipeline health, troubleshoot issues, improve performance
• ▹Support metadata, lineage and documentation practices

Requirements

• ▹Experience in data engineering, analytics engineering, or related technical roles
• ▹Strong SQL and Python skills, batch and/or streaming pipelines
• ▹Hands-on experience with data platforms, ETL/ELT tools, cloud environments
• ▹Understanding of data quality, governance and security principles
• ▹Ability to translate business needs into technical solutions
• ▹Experience supporting AI, machine learning or automation initiatives
• ▹5+ years designing end-to-end architectures
• ▹Bachelor's degree in computer science, software engineering or related field
• ▹Experience with data modeling and database design

Soft skills

What we offer

• ▹Annual base salary range: 20,000,000-26,000,000 HUF

About the company

ABBYY is a trusted partner for purpose-built AI and intelligent automation, serving over 10,000 enterprise customers including many Fortune 500 companies such as DHL, Johnson & Johnson and Spotify.