Data Engineer

Hungary·BudapestHybridmid

Data EngineerData

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Quick Summary

Key Responsibilities

Design and build scalable data pipelines that collect, transform, and deliver structured and unstructured data from internal and external sources.

Technical Tools

Data EngineerData

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

~1 min read

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.

Responsibilities

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→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.

Requirements

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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

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.

What We Offer

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✓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

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.

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.

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.