Data Engineer

Making Science; Madrid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Indefinite contract

Performance-based bonus

Restaurant Ticket

Transportation Ticket

Day Care Ticket

Medical Insurance

Ambassadors Program

Flexible hours

Work from home one day a week

Descripción de la vacante

Making Science is seeking a data engineer to design, build, and maintain scalable data solutions on Google Cloud Platform, improving data models with Airflow, Dataform, and BigQuery. You will develop serverless apps with Cloud Run/Functions, and create dashboards in Looker Studio or Power BI while ensuring data integrity and timely ETL processes.

The role requires 2–3 years of experience and a solid foundation in SQL and Python, with an undergraduate technical degree.

Formación

• Undergraduate degree in Computer Science, Telecommunications, Mathematics or other technical field or equivalent years of experience.
• 2–3 years of experience.

Responsabilidades

• Design, build, and maintain scalable data solutions using Google Cloud Platform (GCP).
• Improve and scale the data model using Airflow, Dataform, Cloud Functions, and BigQuery.
• Develop and deploy applications in serverless environments such as Cloud Run and Cloud Functions.
• Build and optimize ETL/ELT processes to support data integration and transformation workflows.
• Use SQL (BigQuery) for data modeling and feature engineering.
• Develop robust data solutions in Python, applying OOP principles, package development, and data wrangling techniques.
• Resolve data queries and provide technical support in the measurement of media and cc metrics.
• Design and maintain reporting dashboards in Power BI and Looker.
• Monitor and manage the integrity of daily and monthly data loading processes.

Conocimientos

SQL

Python

Data modeling

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Google Cloud Platform (GCP)

Airflow

Dataform

BigQuery

Cloud Run

Cloud Functions

Looker Studio

Power BI

Descripción del empleo

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation.

Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future.

As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation.

Our team is composed of 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.

We believe in the power of diversity and the value of inclusion. At Making Science, our unique experiences, backgrounds, and perspectives are what drive our innovation and success. We are dedicated to providing an equitable hiring process and an inclusive work environment where all individuals are respected and feel they belong. Join us and bring your whole self to work!

The Cloud for Marketing team at Making Science is the department responsible for accelerating our clients’ digital transformation through advanced data capabilities, cloud-based architectures, and marketing technology solutions.

We help brands build end-to-end, scalable, and privacy-ready ecosystems by integrating data collection, measurement, analytics, automation, and activation across platforms such as Google Cloud, BigQuery, GMP, CRM solutions, and first-party data environments.

Our mission is to empower companies to make smarter, faster, and more impactful decisions by combining strategic consulting with deep technical expertise.

What we’d like you to do

• Design, build, and maintain scalable data solutions using Google Cloud Platform (GCP).
• Improve and scale the data model using Airflow, Dataform, Cloud Functions, and BigQuery.
• Develop and deploy applications in serverless environments such as Cloud Run and Cloud Functions.
• Build and optimize ETL/ELT processes to support data integration and transformation workflows.
• Use SQL (BigQuery) for data modeling and feature engineering.
• Develop robust data solutions in Python, applying OOP principles, package development, and data wrangling techniques.
• Resolve data queries and provide technical support in the measurement of media and cc metrics.
• Design and maintain reporting dashboards in Power BI and Looker.
• Monitor and manage the integrity of daily and monthly data loading processes.

What we’d like you to bring

• Proven experience working with Google Cloud Platform (and/or AWS, Azure) and its data ecosystem.
• Airflow, Dataform, and Big Query
• Experience with serverless technologies (Cloud Run, Cloud Functions).
• Proficiency in SQL and Python for data processing and transformation.
• Experience with data visualization tools such as Looker Studio or Power BI.
• Undergraduate degree in Computer Science, Telecommunications, Mathematics or other technical field or equivalent years of experience.
• 2/3 years of experience.

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.

The opportunity to meet our international team with our Ambassadors Program.

We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can 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 23 vacation days, plus 24th, 31st of December and San Publicito are off, and we have afternoons off on the eve of national holidays.

Work comfortably and follow your own style, because we don’t have a dress code.

We know how to have a good time!

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 fond of!