Data Engineer
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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.
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