We are a corporate department that manages the integral information technology systems. We work very close to the PMO department, which defines formal processes that combine all business systems tools. The daily tasks include choosing and adopting or designing and developing the tools that support the company business core. We also support the whole company in day-to-day operations regarding our tools and processes, including training when it is needed.

Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.

We do not manage only the different tools but the development of the integrations between the third‑party cloud services we use. We are in a continuous innovation environment, searching for new systems that improve the Making Science software platform and managing project implementations.

We are a team that is eager to grow and do things the right way, 100% aligned with our corporate values, where we face the challenge of being "Customer and People Centric" every day.

Responsibilities

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- Build end‑to‑end data workflows from raw ingestion to final business insights

- Develop and maintain robust ETL/ELT processes using DBT and Airflow; design internal data warehouse structures and corporate datamarts

- Create advanced dashboards in Power BI or Looker for internal stakeholders and management

- Implement data quality controls and governance standards across our repository

- Collaborate with internal teams to translate business requirements into technical data solutions

- Apply software engineering best practices using Git, CI/CD, and Agile methodologies

Qualifications

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- Around 2 to 3 years of experience working as a Data Engineer or Data Analyst

- Strong SQL skills and solid experience in Data Warehouse development

- Hands‑on experience with cloud environments, preferably Google Cloud Platform (GCP) and Looker Studio

- Proven experience building clear,



actionable dashboards with Power BI or Looker; practical coding skills in Python for data manipulation and automation

- Experience using Git for version control and CI/CD pipelines; knowledge of DBT and Airflow is a strong plus

- Degree in Computer Science, Engineering, Mathematics, or a related technical field

Benefits

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 them, 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!

Inclusion and Diversity

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. xqbhyrx Join us and bring your whole self to work!

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📌 BI Technician (Madrid)
🏢 Making Science
📍 Madrid