Data & Analytics Engineer

SICPA SA

Madrid, Spain
**
Python (pandas, numpy)
Advanced sql skills
Data and analytics apis (rest / graphql)
** SICPA SA is seeking a Data & Analytics Engineer in Madrid, Spain, to enhance their data and analytics capabilities, focusing on software, data engineering, and analytics. The ideal candidate will have strong technical skills in Python, SQL, and data architecture, along with experience in building scalable data solutions and collaborating with cross-functional teams. **

Job Summary

  • This role bridges software engineering, data engineering, and analytics, ensuring that data architectures, pipelines, and analytical assets effectively serve both operational and advanced use cases.
  • In this role, you will work closely with product, data science, and technology teams to design scalable data solutions, transform complex data into actionable insights, and enable reliable reporting and business intelligence.
  • Join a global leader in trust technologies with a mission that matters.

Matching Summary

Match Score: 75

** SICPA SA is seeking a Data & Analytics Engineer in Madrid, Spain, to enhance their data and analytics capabilities, focusing on software, data engineering, and analytics. The ideal candidate will have strong technical skills in Python, SQL, and data architecture, along with experience in building scalable data solutions and collaborating with cross-functional teams. **

Skills & Requirements

Must-have

  • Python (Pandas, NumPy)
  • Advanced SQL skills
  • Data and analytics APIs (REST / GraphQL)
  • ETL / ELT pipelines
  • Relational databases (Oracle, PostgreSQL)
  • Cloud-based, containerized data platforms

Nice-to-have

  • Analytics engineering tools (dbt)
  • Other languages are a plus

Key Requirements

  • Strong experience in Python
  • Advanced SQL skills
  • Proven experience designing and implementing data APIs
  • Hands-on experience with ETL / ELT pipelines
  • Solid knowledge of relational databases
  • Familiarity with Docker and cloud environments (AWS)
  • Fluent in English
  • Degree in Computer Science, Engineering, Data, or a related field

Work Rights

Not specified

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