Senior Data Engineer

Join Wallapop as a Senior Data Engineer

Wallapop, a leading scale-up based in Barcelona, is on a mission to empower people to embrace a more conscious and human way of consumption. We are looking for a Senior Data Engineer to join our dynamic team and help us build the world's best unique goods trading platform.

About the Role

As a Senior Data Engineer at Wallapop, you will collaborate with Data Analysts, Data Scientists, and Engineers to make high-impact decisions based on data. Your work will influence the future of Wallapop by providing fast and smooth access to data, enabling us to gain valuable insights into our business.

Key Responsibilities

• Work with a team of talented Data Analysts, Data Scientists, and Engineers to provide the best possible data platform.
• Support day-to-day issues that may arise unexpectedly.
• Develop and maintain data models, warehouses, and lakes according to industry best practices.
• Optimize data infrastructure for concurrency, query performance, and storage efficiency.
• Implement high-quality, scalable data pipelines to integrate and provide access to diverse data sources.
• Develop and maintain data streaming/real-time solutions.
• Ensure thorough documentation and quality in both code and implementation.
• Drive testing, optimization, and tooling to enhance data quality.
• Elevate software development standards across data projects, including CI/CD, testing, code reviews, and cloud development environments.
• End-to-end monitoring and alerting, from infrastructure to business metrics.
• End-to-end data lineage and cataloging.
• Data warehouse transformation layer with dbt.
• Data lake standardization.
• Increase elasticity of data infrastructure, primarily the data warehouse.

What We’re Looking For

• Experience in data warehousing and data lake design patterns.
• Experience in both batch, streaming/real-time solutions.
• Advanced proficiency in distributed systems, database design, and big data technologies such as Spark, Beam, Flink, or Kafka.
• Proven experience in building and maintaining large-scale data warehouses and ensuring data quality at scale.
• Expertise in data modeling and designing highly scalable and efficient data pipelines.
• Good SQL and Python (preferably) programming skills.
• Knowledge of BI tools such as Looker or Tableau for data visualization and reporting.
• Proficiency in DevOps practices, including CI/CD, testing, and deployment automation.
• Knowledge of cloud-based data engineering solutions, such as AWS, GCP, or Azure.
• Strong analytical and problem-solving skills, with the ability to identify and address complex data issues.
• Excellent communication skills to lead and collaborate with cross-functional teams and stakeholders.
• Ability to recommend platform improvements for the short, medium, and long term.
• Ability to work independently with minimal supervision, taking ownership of complex projects.

Perks & Benefits

• Competitive phantom shares package for all employees
• Generous individual learning budget of 2k per year
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Cigna
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Workiversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

Hiring Process

1. Intro Call - Run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
2. Take-home test - You will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.
3. Expertise Interview - Run by the hiring team, focusing on the required core skills and the ability to deliver in a given context. This usually takes 90 minutes.
4. Stakeholder Interview - Run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
5. Culture Interview - Run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
6. Offer - Should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Location

This position is based in Barcelona, and we work in a hybrid model, offering a flexible work environment where regular office attendance is expected, with the frequency determined at a team level.