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A cutting-edge tech company in Madrid is looking for a Data Engineer to enhance its ETL platform and collaborate with data analysts. The ideal candidate has experience with Python and AWS, and is eager to learn orchestration tools. The position offers a hybrid work model, excellent salary conditions, and numerous perks focused on employee well-being.
At Cabify we are a data-driven company. Our team builds and develops a huge data warehouse where the Data Analytics team can find not only raw data, but also complex etls processes to provide the insights they need.
At the Data Engineering Analytics team, we oversee the management of our entire AWS platform, granting us the freedom to experiment and enhance our infrastructure with flexibility. We've successfully built two ETL platforms that fuel our data warehouses (Redshift, BQ, and Tableau), providing crucial support for Cabify's analytics. You will mainly work with Python, Kubernetes, Airflow and Gitlab.
This robust ecosystem supports over 650 ETL processes and facilitates more than 300 data source refreshes, enabling data-driven decision-making. Our team plays a pivotal role in ensuring Cabify's analytics thrive, backed by cutting-edge technologies and a commitment to continuous improvement.
You will:
We are looking for new members, and this is how you will play an important part in helping us achieve our mission:
The good stuff:
We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our family.
Excellent Salary conditions: L2, up to €42k
️Recharge days! (The 3rd Friday of the month OFF)
Hybrid working model (3 days/week working from the office, 2 days/week working from home) Our office is located in Madrid.
6 weeks of fully remote per year
Flexible work environment & hours.
Regular team events.
Cabify staff free rides.
Personal development programs based on our career paths.
️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
All the equipment you need (you only have to bring your talent).
A pet room ,so you don’t have to leave your furry friend at home
️And last but not least...free coffee and fruit!
Cabify is proud of being an equal opportunity workplace. We celebrate diversity and we are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age or ability. Join us!
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How many years of experience do you have in coding? (work experience) * Select...
We use Python. What is your experience with them? *
If you don't have any experience with it, what other languages do you master?
What is your experience setting up infrastructure components (CI/CD, IAS, observability, container orchestration)? *
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