At Wallapop we are on a quest to grow the collaborative economy and make the world more sustainable by extending the life of products. Would you like to join the talented team that is making this possible?
We are looking for a talented, experienced and enthusiastic Analytics Engineer to join our Analytics team. As an Analytics engineer you will work with product and business teams to make high-impact decisions based on data. We expect you to have extensive knowledge of data wrangling (data handling), data analysis and visualization and to have hands-on experience building and mantaining high quality ETLs, data pipelines and dashboards. If you love diving into data, automating processes, building complex queries and finding insights within massive datasets, Wallapop is your place to go.
The Analytics Engineer reports to the Head of Analytics and will be primarily responsible for the following:
Interact with product and business teams to define metric and reporting requirements
Design, implement and maintain ETL processes using Wallapop’s data infrastructure to integrate internal and external data sources.
Help us build and scale the analytics infrastructure and data feeds powering Wallapop as a data-driven company
Build and maintain dashboards with our visualization tools making data available for self-service exploration
Proactively provide hands-on analysis to highlight trends and discover insights in data
2-4 years of experience in business intelligence / analytics role with demonstrated ownership of framework areas and comprehension of systems design
Proficient in third party visualization tools like Looker, Tableau, Qlikview
Proactive, self-organized and empathic with stakeholders
Proficient and fluent in one or more of the following:
SQL, preferably in AWS Redshift
Python for data pipelining and manipulation and data analytics (Pandas)
Data pipelines frameworks such as Luigi (preferably), Airflow, Pinball…
NoSQL databases: Neo4j, Redis, AWS DynamoDB
Excellent team player
Nice to have:
Experience in digital advertising and/or digital marketing
Amazon AWS Big Data stack: Redshift, S3, Kinesis, EMR, etc.
Familiar with machine learning frameworks: Tensorflow, Keras, scikit-learn
Hands-on experience with Spark framework
Are you ready to join the Wallapop Challenge? We are waiting for you!
✦ All-new, modern and inspirational office space
✦ Flexible working hours
✦ Specialized training
✦ Encouraging, fun and team-focused offsite trips twice a year
✦ International team (now 11 nationalities and counting)
✦ Team building activities
✦ English/Spanish lessons
✦ Half-day Fridays
✦ Free coffee, and free fresh fruit
✦ Private Health Insurance
✦ Other benefits paid from the gross salary (kindergarten check, food check, transport check).
Wallapop is a pure mobile marketplace that helps people find the best opportunities to buy and sell nice things nearby. But beyond that, what we really want to do is offer the best street trade experience to all our users around the world. In order to achieve this we are looking for some special people...
- - Amazing office space.
- - Apple or PC equipment of your choice.
- - Specialised training.
- - Health insurance.
- - Amazing offsites twice a year.
- - International team (now 10 nationalities) .
- - Help with apartment searches.