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Data Engineer / Scientist
Data

Data Engineer / Scientist

5 387 - 7 631 USD/monthNet per month - B2B
5 387 - 7 631 USD/monthNet per month - B2B
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    English

    B2

    Polish

    C1

    Python

    advanced

    SQL

    advanced

    ETL

    advanced

    Data Warehousing

    advanced

    Airflow

    regular

    Pandas

    regular

    GCP

    regular

    Amazon AWS

    regular

    Azure

    junior

    Docker

    junior

Job description

Online interview

🔍 Data Engineer / Scientist (Mid)

Location: Wrocław / Warszawa / remote from anywhere in Poland
Contract: B2B / Employment contract
Capacity: Full-time

You know that before a fancy dashboard or predictive model happens, someone needs to build a solid pipeline, clean up messy datasets from three continents, and deal with a file called final_final_REALLY_final.csv?

That’s exactly the kind of challenge we’re talking about.


💡 Who we are

Kyotu Technology is a boutique software house based in Wrocław and Warsaw, working fully remotely or in hybrid mode from anywhere in Poland.

We partner with companies from Germany, Switzerland, Western Europe, the United States, and the Middle East, focusing on complex, production-grade systems — the kind where code moves real money, not just pixels.

Our teams are highly experienced and independent. We build things from scratch, with strong ownership and zero hand-holding.


🚀 Who we're looking for

We’re looking for someone who’s comfortable in the world of data: capable of building and maintaining data pipelines, integrating different sources, preparing clean and structured datasets — and occasionally diving into analysis or experimentation.

You don’t need to know every buzzword. But you should be confident with:

  • Building and maintaining ETL/ELT pipelines

  • Using SQL and Python to automate and process data

  • Working with tools like dbt, Airflow, Pandas, Jupyter

  • Understanding data warehouse/lake architectures (Snowflake, BigQuery, Redshift, etc.)

  • Making sense of data and describing it clearly for others

Experience with machine learning (e.g., scikit-learn, feature engineering, prompt tuning) is a plus, but not required. Curious minds welcome.


🧠 What you might work on

  • Build and optimize pipelines that pull data from APIs, SQL databases, files — and, yes, occasionally weird Excel sheets

  • Validate and clean incoming data (because no one wants to base decisions on fairytales)

  • Collaborate with AI/ML teams to provide high-quality, structured inputs

  • Occasionally explore, visualize, or summarize data to support product or business goals


💬 How we work

  • You won’t be working in a vacuum. You’ll have a team, proper code reviews, QA, DevOps support, and PMs who understand tech.

  • We work in agile-ish cycles. If something works — we keep it. If it doesn’t — we fix it.

  • English matters — most projects are international and require written and spoken communication with clients.


📦 What we offer

  • Hourly rate: 120–170 PLN net/hour (B2B) — negotiable depending on experience

  • Flexible working hours and full remote freedom — or drop by our Wrocław or Warsaw offices if you like

  • Engaging, end-to-end projects — not just ticket-pushing

  • Autonomy and influence — if something doesn’t make sense, you’ll help change it

5 387 - 7 631 USD/month

Net per month - B2B