CONSULTOR BI - DATA ENGINEER

StubHub International; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global ticketing marketplace in Madrid is seeking a Data Engineer to develop and maintain scalable data pipelines. You will collaborate with various teams to enhance data models and support data-driven decision making. The ideal candidate has over 5 years of experience in data engineering, expertise in tools like Composer/Airflow and BigQuery, and advanced Python skills. This role offers a hybrid work environment and a permanent contract.

Servicios

Private medical insurance

Life insurance

Pension plan

Meal tickets

Time off and others

Formación

• 5+ years of experience in Data Engineering.
• Extensive experience with Composer / Airflow environments.
• Advanced Python skills.
• Expert level in BigQuery (modelling, data types, clustering, partitioning).
• Solid knowledge of SQL, Docker, Kubernetes, and Git.

Responsabilidades

• Develop and maintain scalable data pipelines.
• Build and evolve infrastructure for data extraction, transformation, and loading.
• Collaborate to improve data models for business intelligence tools.
• Develop strategy for long‑term data platform architecture.
• Monitor data pipeline efficiency and ensure smooth operations.
• Follow best practices for code and CI/CD deployments.
• Adhere to Agile values and principles.

Conocimientos

Data Engineering

Composer / Airflow

Python

BigQuery

SQL

Docker

Kubernetes

Git

Herramientas

Airbyte

GCP

Github Actions

dbt

Descripción del empleo

Overview

StubHub International (SHI) is a marketplace that provides fans a safe, transparent, and trusted environment to buy and sell tickets for sport and music events all over the world. It allows fans with tickets they can no longer use to recoup part of the money they’ve spent and fans that didn’t have the chance to buy tickets during the on‑sale, to access them at any time. A vibrant marketplace needs to earn and keep the trust of buyers and sellers. We are empowered to make data‑driven decisions and take action. We balance quality, effort and speed. We believe a diverse and inclusive workplace represents the world we live in, provides an environment for multiple perspectives to be considered, and helps us serve our customers better.

Responsibilities

• Develop and maintain scalable data pipelines, building new integrations when needed to support business needs.
• Build, maintain and evolve the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, using Composer (Airflow), BigQuery, Airbyte or Python.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data‑driven decision making across the organization.
• Work closely with all business units and engineering teams to develop strategy for long‑term data platform architecture.
• Monitor and improve efficiency for data pipelines, ensuring things run smoothly (and dealing with the occasional backfill).
• Follow best practices around code, pipelines and CI / CD deployments.
• Follow Agile values and principles.
• Flexible work that fits into your life (hybrid and open to full remote).
• Permanent contract.

Qualifications

• At least 5+ years of experience in Data Engineering.
• Extensive experience with Composer / Airflow environments.
• Python advance level.
• BigQuery expert level (modelling, data types, clustering, partitioning).
• Solid knowledge around SQL, Docker, Kubernetes and Git.
• We will value extensive experience in GCP, Airbyte, Github Actions and dbt.

Perks

• Private medical insurance (you and your direct family).
• Life insurance.
• Pension plan.
• Meal tickets.
• Time off and others.

Company Culture

Cultural diversity and international teams.

Your work will have a significant impact on the business, and help spread the joy of concerts, theatre, and sports around the world. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day.