Senior Engineer, Data Engineering
Posted
Summary
A Senior Data Engineer at mscope will lay the data foundations for a new fintech SaaS product: building scalable ETL pipelines from diverse sources, designing analytical models and KPIs, and running DataOps (CI/CD, monitoring, infra optimization) on an AWS-first stack with Glue, PySpark, EMR and Lambda.
We're an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society.
Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.
Backed by strong investors & strategic partners across the fintech sector, we build a suite of disruptive SaaS products 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 Claude Code, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. We are looking for a Senior Data Engineer 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.
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 + performance bonus, private health insurance, Gympass and pension plan
~Hybrid mode: 2 days in office 3 days in remote
~
Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.
Backed by strong investors & strategic partners across the fintech sector, we build a suite of disruptive SaaS products 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 Claude Code, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. We are looking for a Senior Data Engineer 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.
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 + performance bonus, private health insurance, Gympass and pension plan
~Hybrid mode: 2 days in office 3 days in remote
~