¡Activa las notificaciones laborales por email!

Data Engineering Analytics

Cabify

Madrid

Híbrido

EUR 35.000 - 42.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

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.

Servicios

Recharge days (3rd Friday of the month OFF)
Hybrid working model
6 weeks fully remote per year
Flexible hours
Regular team events
Free staff rides
Personal development programs
Free iFeel therapy sessions
Coursera access
Flexible compensation plan
Pet room
Free coffee and fruit

Formación

  • 1+ years of coding experience in engineering/data engineering projects.
  • Basic understanding of SQL and data modeling.
  • Interest in orchestration tools like Airflow.

Responsabilidades

  • Contribute to evolving and maintaining in-house ETL platform.
  • Assist in evolving Tableau platform's performance.
  • Support maintenance of monitoring and alert systems.

Conocimientos

Python
Kubernetes
Airflow
Gitlab

Educación

Degree in Engineering, Computer Science, or Software Engineering

Herramientas

AWS
Tableau
Descripción del empleo

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:

  • Contribute to evolving and maintaining our in-house ETL platform, ensuring that the data is easily accessible, reliable, and accurate
  • Assist in evolving and maintaining our Tableau platform, aiming to maximize the performance of both the server and its data sources.
  • Support the maintenance of our monitoring and alert system to be able to react quickly to errors.
  • Collaborate with data analysts to maximize the value of the data through engineering solutions.
  • Help manage and evolve our infrastructure.
  • A degree in Engineering, Computer Science, Software Engineering, or a related field.
  • Know and use software engineering patterns/good practices
  • 1+ years of tenure in coding and delivering engineering/data engineering projects.
  • Interest in learning orchestration tools such as Airflow, Luigi, or Dagster.
  • Curiosity about visual analytics platforms (Tableau, Power BI, QuickSight…).
  • Willingness to learn about automation/IaC tools (Terraform, Puppet, Ansible…).
  • Basic understanding of storage technologies (file-based, relational, columnar, document-based, key-value...).
  • Some experience or coursework in SQL and data modeling.

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!

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Country *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

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)? *

What is your experience working with Kubernetes? Tell us about a project using this technology. *

Do you have experience with any cloud platform (AWS, GCP, Azure)? If yes, how much experience do you have with them? *

Will you ever require visa sponsorship to work in Spain? * Select...

Would you feel comfortable with a partially on-site position in our offices in Madrid? * Select...

Do you feel comfortable conducting interviews / speaking in English with your peers? Select...

What is your expected annual salary? *

Point of Data Transfer *

Acknowledge/Confirm

When you applytoa job on this site, the personal data contained in your application will be collected by Maxi-Mobility which is located in Madrid, Spain. Controller’s data protection officer can be contacted at anna .trallero@cabif y.com . Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit itthroughthis site. Because the European Union Commission has determined thatUnitedStates data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

U.S. Standard Demographic Questions

We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.

How would you describe your gender identity? (mark all that apply) Select...

How would you describe your racial/ethnic background? (mark all that apply) Select...

How would you describe your sexual orientation? (mark all that apply) Select...

Do you identify as transgender? Select...

Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select...

Are you a veteran or active member of the United States Armed Forces? Select...

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.