About Us
- Making Science is a leading digital marketing and technology consulting firm, that is listed in the Madrid Stock Exchange. We are currently expanding our operations internationally, and our offices are located in Madrid, Barcelona, Valencia, Mallorca, Alicante, Lisboa, París, Mexico City, Milan, Dublin, Bogota, Tbilisi, London, Padova, Stockholm... We are a company that specializes in providing comprehensive marketing and technological solutions for digital businesses. Our team is composed of more than 1.000 digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.
- Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success. Do you want to be part of this great family?
What we’d like you to do:
The core responsibility of this role is to design, develop, and maintain robust data solutions. This includes working on data acquisition, data pipelining, data transformation, and ensuring data quality.
As a Data Engineer, you should have a strong proficiency in Python and SQL and some experience with NoSQL databases You will initially focus on working within the AWS (Amazon Web Services) Cloud environment. This involves utilising AWS services for data storage, processing, and deployment of data solutions.
Your role will enable the successful delivery of a Predictive AI product that activates data in real-time across prominent Digital Marketing platforms, including Google Ads, DV360, and Meta.
Collaboration is key for this role. You will work with Customers, the Product Development team, Senior Data Engineers, Data Scientists, and Architects throughout your journey.
As a Data Engineer, you should have a strong proficiency in Python and SQL and some experience with NoSQL databases You will initially focus on working within the AWS (Amazon Web Services) Cloud environment. This involves utilising AWS services for data storage, processing, and deployment of data solutions.
Your role will enable the successful delivery of a Predictive AI product that activates data in real-time across prominent Digital Marketing platforms, including Google Ads, DV360, and Meta.
Collaboration is key for this role. You will work with Customers, the Product Development team, Senior Data Engineers, Data Scientists, and Architects throughout your journey.
What we’d like you to bring:
Strong programming skills in Python.
High proficiency in SQL.
Familiarity with Linux, Shell, and Bash scripting.
A minimum of 3 years of experience in AWS software development.
Competence in GIT for version control.
Understanding of cloud-based Continuous Integration and Continuous Deployment (CI/CD) processes.
Experience in cloud-based ETL, including server and serverless solutions.
Knowledge of NoSQL databases in a cloud environment.
Ability to design data models and low-level software components for the cloud.
Competence in GIT for version control.
Understanding of cloud-based Continuous Integration and Continuous Deployment (CI/CD) processes.
Fluency in English.
Possession of AWS certifications
Experience with AWS Sagemaker.
Familiarity with Google Cloud Platform (GCP).
Javascript skills
Perks of joining us
- We give you complete stability with an indefinite job contract.
- We offer a fixed salary according to your worth and experience, plus a performance based bonus.
- Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance.
- Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired!
- Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.
- We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home.
- You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more.
- Pack your bags, you’ll have 26 vacation days!
- Work comfortably and follow your own style, because we don’t have a dress code.
- We know how to have a good time! Monthly TGIF events, 5V, and much more!
- Never go hungry with our free daily fruit and our vending machine card!
- Take a break on our terrace, play foosball, darts, or PlayStation
- Be a part of a young, adventurous, and professional team, with people you’ll grow
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