INVO

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.