Data & Analytics Engineer

• Experience in data and analytics environments.
• SQL and relational databases. PostgreSQL or similar databases.
• Data modeling, especially denormalized models.
• Developing dashboards in Power BI.
• Ability to understand business processes and translate them into analytical solutions.
• AI applied to data and automation.

• Valuable experience in developing or building internal tools.
• Valuable experience in logistics, supply chain, or distribution environments.

In addition, working for BETWEEN you will obtain the following additional benefits:

• Being part of a young team in a techie community, a high-performance team with a high degree of specialization.
• Training plans with BTW University (Speexx, Power Business School, Udemy, Technical Certifications, Pharos, Bootcamps, etc.).
• Free health insurance from day one. Option to choose how to receive part of your salary through Flexible Compensation (restaurant tickets, childcare).
• Access to discounts (Travel, technology, and more).
• Reduced rates for wellness, fitness, and nutrition with WellHub.
• Celebrating your birthday as a Betweener has its reward!

We are currently looking for a Data & Analytics Engineer with a mixed profile (data + development) and extensive experience in PowerBI, SQL, and a strong business focus, to join on a permanent basis one of the technology teams that BETWEEN has deployed at one of our main clients.

The selected person will collaborate on a major technology project using an agile methodology, with collaborative and non-hierarchical teams, requiring a high degree of proactivity and responsibility; where data is key to decision-making. 

Mission: you will work directly with different business areas, understanding their analytical and operational needs, translating requirements into data solutions, building visual solutions (dashboards, data models) and analytics that influence and impact decision-making.

• Understanding business processes and functional needs alongside operational areas.
• Continuous communication with the business and acting autonomously in managing requirements.
• Analyzing complex databases to extract actionable insights.
• Designing and developing dashboards and visualizations in Power BI.
• Participating in database modeling and administration; denormalized data models.
• Collaborating on operational efficiency and process optimization initiatives.
• Participating in projects related to AI applied to data analysis and exploitation.

• High autonomy and self-management skills.
• Analytical mindset and problem-solving orientation.
• Good communication skills with non-technical profiles.
• Proactivity and speed of execution.
• Ability to navigate dynamic and changing environments.
• Business focus without losing the technical perspective.
• Collaborative work and a results-driven attitude.