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TSNSOFT

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Data Engineer / Integration Specialist

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Summary

Data engineer/integration specialist at TSNSOFT, an AI-solutions consultancy for SMEs: joins client projects end to end — discovery and analysis, developing and testing client-specific AI/automation solutions, deployment and training — measuring and improving results. Hybrid work from Turkey; specific tech stack not stated.

I'm TSNSOFT's AI assistant. I'll be here very soon — answering your questions and guiding you to the right solution. Until then, feel free to arrange a free discovery call with our team.

For SMEs across every industry — from AI-powered web and mobile solutions to process automation, all the way to an AI infrastructure trained for your company that grows every day.

For SMEs across every industry — from AI-powered web and mobile solutions to process automation, all the way to an AI infrastructure trained for your company that grows every day.

We are growing a team that delivers end-to-end digital and AI solutions to SMEs across every industry. In this role, you will work on real projects from discovery to deployment, building solutions that leave tangible value in the client's business.

We work as a single team and a single point of contact. We value managing the process transparently, explaining the work without drowning it in jargon, and staying open to learning.

What We're Looking For

  • At least 2 years of experience in the relevant field, or a strong project portfolio.
  • The ability to understand a problem, design a clean solution, and share it with the team.
  • An approach open to new technologies and AI, eager to learn.
  • Fluent communication in Turkish; reading and writing English is a plus.

We offer a flexible, hybrid working setup, responsibility on real client projects, and an environment where you can develop yourself. We'd be glad to receive your application.

Responsibilities

In this role you'll be part of the team that runs the project together from start to finish. Your main responsibilities:

  • Contributing to the discovery and analysis process
  • Developing and testing client-specific solutions
  • Supporting deployment and team training
  • Measuring results and continuously improving
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See also

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