Senior Data Architect — Remote, Lead Data Pipelines & Platform

INVO

Warszawa

Híbrido

PLN 454.000 - 568.000

Jornada completa

14 días+
Generador de candidaturas

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Fully flexible remote work

Descripción de la vacante

INVO is expanding its data platform across Poland and the US. We are looking for a senior data engineer to own architectural decisions across the data engineering team, mentor junior engineers, and ensure pipelines scale with the company.

You will drive standards for data quality, security and performance and collaborate with analytics and product teams on the data platform roadmap, while delivering scalable, cost-efficient data processing.

Formación

  • At least 4 to 5 years as a data engineer, including making architectural decisions independently.
  • Fluency in SQL and experience with data warehouses (BigQuery, Snowflake, Redshift).
  • Experience with pipeline orchestration tools (Airflow, Dagster or similar).
  • Solid Python for building pipelines and transforming data.
  • Experience supporting and mentoring other data engineers, formally or informally.
  • English good enough to work in an international team, including with the US team.

Responsabilidades

  • Making the key architectural decisions about the pipelines and the company-wide data model.
  • Mentoring and backing up the less experienced data engineers, including on the team serving the US market.
  • Running the most complex integrations with customer systems (ERP, WMS, ordering systems).
  • Defining and enforcing the standards for data quality, security and performance across the company.
  • Optimising the cost and performance of data processing at growing scale (Poland and the US).
  • Working with the analytics and product teams on where the data platform goes next.

Conocimientos

SQL
Data Warehouses
Orchestration
Python
Mentoring
English

Herramientas

Airflow
Dagster

Descripción del empleo

INVO is expanding its data platform across Poland and the US. We are looking for a senior data engineer to own architectural decisions across the data engineering team, mentor junior engineers, and ensure pipelines scale with the company.

You will drive standards for data quality, security and performance and collaborate with analytics and product teams on the data platform roadmap, while delivering scalable, cost-efficient data processing.

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