Data Engineer

About Making ScienceMaking 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 FT****: Europe's Fastest-Growing Companies ****. 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!??Some details about your departmentThe Cloud 4 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 doDesign, build, and maintain scalable data solutions using Google Cloud Platform (GCP).Implement, configure and manage tracking solutions using Google Tag Manager, including Server-Side GTM.Develop and deploy applications in serverless environments such as Cloud Run and Cloud Functions.Configure Load Balancer and Cloud Run service.Ensure security best practices across systems, including WAF configuration and SSL implementation.Apply DevOps methodologies, including CI/CD pipelines and Infrastructure as Code (IaC).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.Create insightful dashboards and reports using Looker Studio or Power BI.?? What we'd like you to bringProven experience working with Google Cloud Platform and its data ecosystem.Strong knowledge of data engineering best practices and modern data architectures.Experience with serverless technologies (Cloud Run, Cloud Functions).Solid understanding of DevOps practices (CI/CD, IaC).Proficiency in SQL and Python for data processing and transformation.Experience with data visualization tools such as Looker Studio or Power BI.Knowledge of web tracking and tagging ecosystems (GTM, Server-Side GTM).Strong focus on security and performance optimization.Minimum 5 years of experienceMandatory: Google Certified Professional Data Engineer certification.??Perks of joining usWe 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 PlayStationBe a part of a young, adventurous, and professional team, with people you'll grow fond of!

Proven experience working with Google Cloud Platform and its data ecosystem. Strong knowledge of data engineering best practices and modern data architectures. Experience with serverless technologies (Cloud Run, Cloud Functions). Solid understanding of DevOps practices (CI/CD, IaC). Proficiency in SQL and Python for data processing and transformation. Experience with data visualization tools such as Looker Studio or Power BI. Knowledge of web tracking and tagging ecosystems (GTM, Server-Side GTM). Strong focus on security and performance optimization. Minimum 5 years of experience Mandatory: Google Certified Professional Data Engineer certification.

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!

Málaga, España About Making Science 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 FT****: Europe's Fastest-Growing Companies ****. 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! ??Some details about your department The Cloud 4 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). Implement, configure and manage tracking solutions using Google Tag Manager, including Server-Side GTM. Develop and deploy applications in serverless environments such as Cloud Run and Cloud Functions. Configure Load Balancer and Cloud Run service. Ensure security best practices across systems, including WAF configuration and SSL implementation. Apply DevOps methodologies, including CI/CD pipelines and Infrastructure as Code (IaC). 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. Create insightful dashboards and reports using Looker Studio or Power BI.