Senior Data Analyst & Data Engineer

Allegro; Województwo mazowieckie; Híbrido; PLN 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hybrid hours

Annual bonus

MacBook Pro or Dell laptop with access

Cafeteria plan fringe benefits

English classes

Training budget & hackathons

Volunteer day off

Social events

Descripción de la vacante

Allegro is looking for a data-focused engineer to maintain and develop company-wide reports, ensuring a single source of truth for executives. You will work with large datasets to drive transformative insights and lead cross-functional data initiatives.

The role requires 3–4 years in data engineering or similar, strong SQL and Python skills, and experience with Airflow and Google Cloud Platform. A proactive, collaborative mindset and English proficiency (B2) are essential.

Formación

• 3–4 years of experience working with large datasets in data engineering or related roles.
• Expert in SQL with strong Python proficiency.
• Experience with Airflow and Google Cloud Platform (BigQuery).
• Knowledge of CI/CD and clean-code practices; autonomous and proactive.
• Strong collaboration skills across finance, business, analytics, and data science teams.

Responsabilidades

• Maintain and develop company-wide periodic reports to provide a single source of truth for executive decision-making.
• Work with large datasets to deliver transformative insights that drive organizational goals and initiatives.
• Lead data initiatives and projects, driving cross-functional collaboration and thought leadership.
• Oversee ETL/ELT processes, optimizing cost and data processing efficiency.
• Support the DE team by managing day-to-day updates in code repositories and data pipelines.

Conocimientos

SQL

Python

CI/CD

Data analysis

Herramientas

Airflow

Google Cloud Platform

BigQuery

Kubernetes

Docker

GitHub

GitHub Actions

Descripción del empleo

Allegro is looking for a data-focused engineer to maintain and develop company-wide reports, ensuring a single source of truth for executives. You will work with large datasets to drive transformative insights and lead cross-functional data initiatives.

The role requires 3–4 years in data engineering or similar, strong SQL and Python skills, and experience with Airflow and Google Cloud Platform. A proactive, collaborative mindset and English proficiency (B2) are essential.