---
title: 'Data Engineer at ABBYY'
canonical: 'https://feeny.ai/job/data-engineer-abbyy-budapest-xgen59vde8sr'
type: 'job'
last_seen: '2026-09-06'
---

# Data Engineer at ABBYY

- **Company:** ABBYY
- **Location:** Budapest, Hungary
- **Work type:** hybrid
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.eu.greenhouse.io/abbyy/jobs/4960440101

## Job description

Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.

Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.

As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.

About the role:

We are looking for a Data Engineer to help build the data foundation that powers our AI initiatives across generative AI and core business workflows. This role will design, integrate, and maintain trusted data pipelines that make enterprise data usable for analytics, automation, and AI-driven experiences.

Job Responsibilities:

- Design and build scalable data pipelines that collect, transform, and deliver structured and unstructured data from internal and external sources.
- Partner with business and technology teams to define data requirements for AI use cases and operational workflows.
- Develop data models, integrations, and data quality controls to support analytics, automation, and model performance.
- Ensure data is available, reliable, secure, and properly governed across systems and environments.
- Work closely with AI engineers, product owners, and process teams to prepare data for experimentation and production use.
- Monitor pipeline health, troubleshoot issues, and continuously improve performance, reliability, and maintainability.
- Support metadata, lineage, and documentation practices that improve data transparency and trust.

Job Requirements:

- Experience in data engineering, analytics engineering, or related technical roles.
- Strong SQL and Python skills, with experience building batch and/or streaming pipelines.
- Hands-on experience with data platforms, ETL/ELT tools, cloud environments, and data warehouses.
- Understanding of data quality, data governance, security, and access control principles.
- Ability to work cross-functionally and translate business needs into technical solutions.
- Experience supporting AI, machine learning, or automation initiatives
- 5+ years designing and building end-to-to architectures
- Bachelor’s degree in computer science, software engineering, or a related field.
- Experience with data modeling and database design.
- Strong financial acumen (ARR, margin, leverage, performance metrics)
- Demonstrated ability to align strong functional leaders without formal authority
- Experience embedding AI, automation, or workflow redesign into operating environments
- Executive presence and EMT credibility

Salary Range:

The anticipated base salary range for this position is between 20,000,000 HUF and 26,000,000 HUF annually. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority compared to others performing substantially similar work. There is no guarantee that an offer will be at the top of the posted range, as compensation decisions are based on a variety of factors including, but not limited to, skills, qualifications, and internal equity.

Here are some of our local benefits:

- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year

## #LI-MM1

Join ABBYY, and you will:

Love how you work

- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.

Love whom you work with

- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.

Love what you work on

- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.

ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.

## About ABBYY

## Company Overview
- **One-liner**: ABBYY is a global enterprise software company specializing in purpose-built AI solutions for intelligent document processing (IDP) and process intelligence.
- **Entity Type**: Private (largest shareholder: Marlin Equity Partners)
- **Headquarters**: Austin, Texas, USA
- **Founded**: 1989 (over 35 years of experience as of 2026)
- **Founders**: Not publicly available from provided sources; commonly known as David Yang and others

## Core Business
- **Primary industries**: Intelligent Document Processing (IDP), Process Intelligence, Enterprise AI, Intelligent Automation
- **Target customers**: B2B enterprise (including Fortune 500), SMBs, and organizations needing document automation and process optimization
- **Mission / Purpose**: To empower organizations through intelligent automation, turning data into intelligence and intelligence into outcomes

## Products & Services
- **ABBYY Vantage (Document AI)**: A low-code/no-code cloud-native IDP platform that uses pre-trained AI models to capture, classify, extract, validate, and process data from structured, semi-structured, and unstructured documents in 200+ languages. Integrates with RPA, BPM, ERP, LLMs, and other systems.
- **ABBYY Timeline (Process AI)**: A process intelligence platform offering process discovery, analysis, monitoring, prediction, and simulation to visualize and optimize how business processes actually run.
- **ABBYY FlexiCapture**: A highly configurable enterprise IDP solution deployable on-premise, in the cloud, or via SDK for maximum control and customization. (Legacy product; Vantage is the modern successor.)
- **ABBYY FineReader**: A document conversion tool that turns scans and PDFs into editable, searchable formats (primarily for individuals and smaller use cases).

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 10,000 customers, including many Fortune 500 companies; 400+ technology patents
- **Notable Investors / Partners**: Marlin Equity Partners (largest shareholder). Recognized as a leader by Gartner, Everest Group, ISG, NelsonHall, and Zinnov.
- **Growth Signals**: Operations in 13 countries; 30+ nationalities represented; above-industry representation of women (40%+ of workforce); recently named first participant in ForHumanity Europe’s AI Policy Accelerator

## Competitive Advantages
- **Broadest language coverage**: Only IDP provider offering AI document processing in 200+ languages
- **Low-code/no-code simplicity**: Vantage enables rapid deployment with up to 90%+ recognition accuracy out of the box
- **Patented technology**: 400+ patents in intelligent process automation
- **Complementary product pair**: Vantage (document data) + Timeline (process data) together provide end-to-end insight and automation
- **Strong analyst recognition**: Consistently named a leader in both IDP and process/task mining by top analyst firms
- **Trust and compliance**: Privacy-by-design, Zero Trust, GDPR, ISO 27001, SOC 2, and alignment with EU AI Act

## Strategic Focus
- **Intelligent Automation**: Combining document intelligence and process intelligence to automate complex end-to-end workflows
- **AI innovation**: Grounding large language models (LLMs) with verified document data to improve accuracy and reliability
- **Sustainability**: Committed to carbon neutrality, measuring travel carbon footprint and investing in offset programs
- **Global expansion**: Continued growth across 13 countries with a diverse, inclusive workforce

## Why Work Here
- **Flexibility**: Remote and hybrid work arrangements with flexible hours; two paid volunteer days annually
- **Culture**: Trust & Autonomy scores of 9/10 (above industry benchmark); values of respect, transparency, and simplicity
- **Diversity**: 40%+ women in the workforce; 30+ nationalities; above-average D&I scores in engagement surveys
- **Impact**: Work on products used by 10,000+ customers including Fortune 500; 400+ patents; recognized by top analyst firms
- **Benefits**: Paid parental leave in all locations, volunteering days off, and a supportive team environment
- **Growth**: Role-based training and certification through ABBYY University; opportunities to work with cutting-edge AI

## Sources
1. [ABBYY Careers Page](https://www.abbyy.com/company/careers/)
2. [ABBYY About Us](https://www.abbyy.com/company/about-us/)
3. [ABBYY Website](https://www.abbyy.com/)
4. [ABBYY Working at ABBYY](https://www.abbyy.com/company/careers/working-at-abbyy/)
5. [ABBYY Open Roles](https://www.abbyy.com/company/careers/open-roles/)

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