Data Engineer (PL) Zdalnie / Polska

INVO; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Fully flexible remote work

Job summary

INVO in Poland seeks a data engineer to own the data pipeline layer—from integrating ERP, WMS and POS sources to modelling—keeping data quality high as the customer base grows.

You will design and maintain pipelines feeding analytical modules and forecasting models, expose data in ready-to-use formats, and optimise cost and performance, while documenting data models for cross‑functional teams in an international environment. Fully flexible remote work.

Qualifications

• 2–3 years of data engineering experience.
• Fluency in SQL and experience with data warehouses (BigQuery, Snowflake, Redshift).
• Experience with pipeline orchestration tools such as Airflow or Dagster.
• Python for building pipelines and transforming data.
• Understanding of dimensional data modelling (raw, staging, mart layers).
• English proficiency to work in an international team.

Responsibilities

• Design and maintain data pipelines feeding analytical modules and forecasting models.
• Integrate data from customer systems into a shared data model.
• Ensure data quality via validation, monitoring, and anomaly alerts.
• Collaborate with analytics to expose data in ready-to-use formats.
• Optimize cost and performance of data processing as customer base grows.
• Document data models and data standards across the company.

Skills

SQL

Data Warehouses

Orchestration tools

Python

Data Modelling

English

Tools

dbt

Kafka

Kinesis

Job description

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.