Data Engineer - Remote

Overview

As a Data Engineer at Wallapop, you will partner and collaborate with Data Analysts, Data Scientists, and Engineers to make high-impact decisions based on data, influencing the future of the company.

In Short

• Collaborate with Data Analysts, Data Scientists, and Engineers.
• Process massive datasets and build scalable data platforms.
• Provide fast and smooth access to data for insights.
• Develop and maintain data models, warehouses, and lakes.
• Optimize data infrastructure for performance and efficiency.
• Implement scalable data pipelines for diverse data sources.
• Ensure thorough documentation and quality in code.
• Drive testing and optimization to enhance data quality.
• Monitor and alert on data infrastructure and business metrics.
• Work in a hybrid model with flexibility in office attendance.

Requirements

• Experience in data warehousing and lake design patterns.
• Experience in batch and streaming solutions.
• Proficiency in big data technologies like Spark and Kafka.
• Experience in building large-scale data warehouses.
• Expertise in data modeling and pipeline design.
• Good SQL and Python programming skills.
• Knowledge of BI tools for data visualization.
• Proficiency in DevOps practices.
• Knowledge of cloud-based data engineering solutions.
• Strong analytical and problem-solving skills.

Benefits

• Competitive phantom shares package.
• Generous learning budget of 2k per year.
• Language lessons during work hours.
• Private Health Insurance.
• Flexible working hours and intensive Fridays.
• Gym and wellness plan.
• Generous referral program and charity donation.
• Bonus for weddings and newborns.
• Monthly plan for free shipping on services.
• 26 holidays per year.