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Data Engineer (PL) Zdalnie / Polska

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Summary

A data engineer who owns the pipeline layer for Factory Brain: integrating customer data from ERP, WMS and production/ordering systems, modelling it, and keeping quality high as customer count grows. Core stack is SQL, Python, cloud data warehouses (BigQuery/Snowflake/Redshift) and Airflow/Dagster orchestration, fully remote within Poland.

Data in Factory Brain comes from customer systems — warehouses, production lines, ordering systems. Before it reaches analytical models, dashboards or customer reports, it has to pass through well-designed pipelines. We are looking for someone to own that layer: from integrating the sources, through modelling, to keeping data quality up as the number of customers grows.

What you will do

  • Designing and maintaining the data pipelines that feed the analytical modules and the forecasting models.
  • Integrating data from customer systems (ERP, WMS, point-of-sale and ordering systems) into a shared data model.
  • Keeping data correct and consistent: validation, monitoring, alerting on anomalies.
  • Working with the analytics team to expose data in ready-to-use formats.
  • Optimising the cost and performance of data processing as the number of customers grows.
  • Documenting data models and the standards for working with data across the company.

What we are looking for

  • At least 2 to 3 years as a data engineer.
  • Fluency in SQL and experience with data warehouses (BigQuery, Snowflake, Redshift).
  • Experience with pipeline orchestration tools (Airflow, Dagster or similar).
  • Python for building pipelines and transforming data.
  • Understanding of data modelling: dimensional modelling, and the raw, staging and mart layers.
  • English good enough to work in an international team.

Nice to have

  • Experience with operational and production data (IoT, MES systems, data from production lines).
  • Familiarity with dbt or similar transformation tools.
  • Experience with stream processing (Kafka, Kinesis).

What we offer

  • Work on data that actually means something — we do not generate it synthetically, it comes from real production plants and catering operations.
  • Fully flexible remote work.

Skills

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See also

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