Senior Engineer, Data Engineering
Summary
mscope, a fintech venture helping institutional investors identify and grow promising SMEs, seeks a Senior Data Engineer in Spain (hybrid) to build the data foundations of a new product: building scalable ETL pipelines and analytical models. The stack is AWS cloud-first (Glue, EMR, Lambda, Bedrock) with PySpark/Spark, Python and SQL.
mscope is a applying to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We're an ambitious, talented & international team of + eager to build high-quality solutions with real impact on the economy & society.
Backed by strong investors & strategic partners across the fintech sector, we build a suite of using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with , modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. We are looking for a to lay the data foundations of a brand new product we are currently building.
Build data pipelines: integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs.
Habilidades, experiencia, cualificaciones... Si tiene el perfil adecuado para esta oportunidad, asegúrese de inscribirse hoy mismo.
Modeling and optimization: design analytical models to generate KPIs and efficiently manage large data volumes.
DataOps and scalability: apply CI/CD, continuous monitoring, and optimize infrastructure. xqbhyrx
Relevant experience with SQL / PL-SQL
Relevant experience with Python (pandas, Pyspark) and Apache spark
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
Base pay + , private health insurance, Gympass and pension plan
~Hybrid mode: 2 days in office 3 days in remote
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