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We are looking for

Senior Data Science Engineer

Data Science
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About AltexSoft

We are looking for a Senior Data Engineer to join AltexSoft and strengthen our data engineering practice on a large-scale, high-impact project within the travel and hospitality domain. In this role, you will work hands-on with complex data ecosystems, taking responsibility for the stability, scalability, and performance of mission-critical data integrations.

About Project

You will play a key role in resolving non-trivial technical issues, improving existing pipelines, and evolving engineering processes to make data operations more resilient and proactive. The position offers a strong technical challenge and real influence on systems that process massive volumes of data used by analytics platforms and customer-facing products.

You Have

  • 5+ years experience in Python and proven experience working with large-scale datasets.
  • Experience with PMS integrations/Hospitality domain
  • Solid background in designing, building, and maintaining data processing pipelines.
  • Experience with cloud platforms (GCP, AWS, or Azure).
  • Hands-on skills with SQL and data storage/querying systems (e.g., BigQuery, BigTable, or similar).
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Ability to troubleshoot and debug complex technical issues in distributed systems.
  • Strong communication skills in English, with the ability to explain technical details to both technical and non-technical stakeholders.
  • Experience using AI coding assistants (e.g., Cursor, GitHub Copilot, or similar) in day-to-day development tasks.
  • Experience with Google Cloud services such as Pub/Sub, Dataflow, and ML-driven data workflows.

Would be a plus

  • Experience with airline, travel, or hospitality-related datasets.
  • Exposure to observability and monitoring tools for large-scale data systems.
  • Experience building AI-powered solutions or integrating AI pipelines/APIs into software projects.
  • Experience with 2nd tier PMS market like Tesipro or Maestro.
  • Or any property management systems APIs.

You Are Going To

  • Maintain and enhance existing data integrations, ensuring the reliability, accuracy, and quality of incoming data.
  • Lead the investigation and resolution of complex incidents by performing deep technical analysis and debugging.
  • Communicate effectively with stakeholders (including customer-facing teams and external partners) by providing transparent and timely updates.
  • Collaborate with partners to troubleshoot integration issues and ensure smooth data flow.
  • Identify opportunities to improve processes, tooling, and documentation to scale and streamline data operations.
  • Contribute to the design and delivery of new data engineering solutions supporting business-critical systems.

We offer

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Work-life Balance

  • Possibility to work remotely
Health

Health Care

  • Reimbursement of medical expenses
  • Online morning exercise
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Education

  • Compensation for trainings, seminars, conferences
  • Free access to the Pluralsight and ACloudGuru knowledge base
  • Access to the AltexSoft library with  top-notch materials
  • A mentor for a probation period
  • Engagement in our Mentorship Hub program as a mentor or a mentee to foster professional growth and development 
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Development

  • Horizontally — master new technologies at internal courses
  • Vertically — choose your own career path through Competency trees
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Recognition Program

  • All your activities are marked by points that can be exchanged for gifts to fit any taste.
Contact our Talent Acquisition Specialist
Viktoriia Vorobiovaviktoriia.vorobiova@altexsoft.com

To many people, the world is chaos. To us, it's something a few effective formulas can organize and even change.

Come along if you share our vision

  • We were founded in 2007. Employer of the Year (2014, 2017, 2019).
  • The AI Ukraine conference and the Know Your Onions meetups organizer.
  • R&D centers in Ukraine (Kharkiv, Kremenchuk, Lviv) and Georgia (Tbilisi). We employ more than 300 people.