Data Engineer

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 HR 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 c ... (truncated, view full listing at source)