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Data Engineer: Scalable NLP/ML Pipelines on Cloud

Posted 2 days ago

andersenPoland (NY)

SENIORITY

Senior

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About the role

Andersen, an international IT company, is seeking an experienced Data Engineer to join its team and work with a US company on new SaaS solutions that analyze data to solve enterprise problems. The role focuses on building scalable pipelines, ETL for NLP/ML/DL projects, and collaborating with Data Scientists and ML Engineers to enable intelligent capabilities across products. English level is intermediate, with strong Python and cloud experience preferred.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

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Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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