? At
Finsolutia
we keep expanding?

For this reason, we are looking for a
Data Engineer (ETL/SQL/BI)
with at least
4-5 years of experience
performing similar duties to join our Data Team in Madrid. Thus, we encourage you to apply and become part of this great team.??

?
What will you do on a day-to-day basis?
?
- Develop and implement advanced T-SQL procedures and functions and Databricks Spark SQL & PySpark, ensuring efficiency and scalability.
- Design and build impactful Power BI reports and dashboards(Operational, Strategic & Analytical) using DAX, Power Query, and advanced data modelling.
- Define and implement best practices, guidelines, and repeatable processesto drive efficiency and quality.
- Deliver insights that help the business monitor KPIs and make informed, data-driven decisions.
- Creating complex DAX calculations and measures to support data analysis.
- Ensuring data security and compliance with best practices.
- Troubleshooting and resolving issues in Power BI reports




- Ensure the reliability and performance of developed reports and dashboards for both internal and external users.

?
What knowledge and skills will you need to have to succeed in the position?
?
- At least 3 years of professional experience in an Enterprise environment or 5 years in any industry sector.
- Strong expertise in T-SQL (advanced level) and performance optimization.
- Proven experience with Databricks is a huge plus.
- Solid experience with ETL processes.
- Proficiency in developing and tuning Power BI dashboards, datasets, DAX, and SQL for optimal performance.
- Solid knowledge of Python.
- Fluency in English.
- Knowledge of Portuguese will be positively valued.

?What Will Make You Stand Out (Soft Skills) ?
- Self-motivated, proactive, and autonomous.
- Strong analytical and critical thinking abilities.
- A commitment to quality and testing excellence.
- A team player, focused on achieving results.
- Excellent communication and interpersonal skills, with the ability to c

📌 Data Engineer (Madrid)
🏢 Finsolutia
📍 Madrid