?Some details about your department

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.

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.

? What we’d like you to do
- 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

? What we’d like you to do
- 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 automat

📌 BI Technician (Madrid)
🏢 Making Science
📍 Madrid