04 oct
|
Michael Page
|
Madrid
04 oct
Michael Page
Madrid
¿Dónde vas a trabajar?
Si desea conocer los requisitos para este puesto, siga leyendo para obtener toda la información relevante.
Aquaculture / Seafood. It is the world's largest producer of farmed Atlantic salmon and one of the largest seafood companies globally.
¿Qué harás en tu actual puesto?
- Strong experience with Snowflake, including data modelling and analytical architecture design.
- Advanced proficiency in SQL for data transformation, optimization, and analysis.
- Experience building data models and semantic layers for reporting, BI, and analytics initiatives.
- Proven track record developing ETL/ELT pipelines and integrating data from multiple sources.
- Strong Python skills, including Pandas, automation, and data processing.
- Experience with Databricks, PySpark, and cloud-based data platforms.
- Hands-on experience with Azure DevOps, including source control, CI/CD, and release management.
- Ability to define and implement data quality controls, including duplicate detection, null value management, and validation processes.
- Experience supporting Business Intelligence solutions, such as Power BI, Tableau, or similar platforms.
- Experience designing trusted datasets and data structures for AI, Machine Learning, and AI Agent consumption.
¿A quién buscamos (H/M/D)?
- Solid experience in Data Engineering, Business Intelligence, or Analytics Engineering environments.
- Strong ability to engage with business stakeholders, gather requirements, and translate them into scalable technical solutions.
- Experience working in international environments and collaborating with cross-functional teams across different countries.
- A hands-on profile capable of combining architectural thinking with technical execution.
- Strong focus on data quality, continuous improvement, and scalable solutions supporting analytics and AI initiatives.
¿Cuáles son tus beneficios?
Career progression. xghoner
Hay opciones de teletrabajo/trabajo desde casa disponibles para este pues
📌 Data Analyst (Madrid)
🏢 Michael Page
📍 Madrid