Data Engineer

mscope; Madrid; Híbrido; EUR 48.000 - 68.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days vacation

Birthday off!

Descripción de la vacante

mscope is seeking a data engineer to build scalable data pipelines that integrate HTML, CSV, databases and embeddings. You will design models for KPIs and handle large data volumes in a fast-paced environment.

You'll prepare datasets for ML, LLMs and RAG systems, enabling AI-powered natural language queries. The role also emphasizes DataOps, CI/CD, monitoring and infrastructure optimization within a hybrid Madrid office.

Formación

• 3-4 years of experience in data engineering or related field.
• Experience with SQL/PL-SQL.
• Experience with Python (pandas) and Apache Spark.
• Experience with ETLs and ER models.
• Experience working with Data & Development teams.
• Experience with AWS services (EMR, Lambda) or similar Cloud.
• Fluency in Spanish and English.

Responsabilidades

• Build data pipelines integrating HTML, CSV, databases and embeddings using scalable ETLs.
• Design analytical models to generate KPIs and manage large data volumes.
• Prepare datasets for ML, LLMs and RAG systems, enabling AI for natural language queries.
• Apply CI/CD, monitoring and optimize DataOps infrastructure.
• Learn about the world of alternative investment.

Conocimientos

SQL/PL-SQL

Python (pandas)

PySpark

Apache Spark

ETL pipelines

Data modeling

AWS (EMR/Lambda)

Spanish/English bilingual

Data integration

Herramientas

Vector database

Scraping engines

Hadoop/AWS tooling

Descripción del empleo

The role

• Build data pipelines: integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs.
• Modeling and optimization: design analytical models to generate KPIs and efficiently manage large data volumes.
• Enable AI: prepare datasets for ML, LLMs, and RAG systems, integrating AI for natural language queries.
• DataOps and scalability: apply CI/CD, continuous monitoring, and optimize infrastructure.
• Learn as much as you want about the world of alternative investment.

What we're looking for

• Results-oriented with strong technical ownership.
• Around 3-4 years of experience.
• Relevant experience with SQL / PL-SQL
• Relevant experience with Python (pandas, Pyspark) and Apache spark
• Relevant experience with ETLs & E/R models
• Relevant experience working with Data & Development teams
• Experience with AWS services (EMR, Lambdas,…) or similar Cloud
• Fluency in Spanish and English

This gives extra points

• Basic experience with data science environments
• Basic experience with Vector database and with scraping engines
• Work with multi-country and multi-source data.
• Experience working in with financial data

What we offer

• 25 days of vacation (and your birthday off!)
• Hybrid mode: 2 days in office 3 days in remote