Data Engineer — Cloud Pipelines & Data Solutions

INNOCV Solutions S.L.U.; Madrid; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Professional Training & Certifications

Flexible hours

Day off on your birthday

Wellness - Gympass

Flexible compensation

Company events and team buildings

Volunteering opportunities

Job summary

INNOCV Solutions S.L.U. in Madrid is seeking a data engineer to design, develop, and maintain scalable data pipelines in the cloud, ensuring data availability, quality and governance for strategic decisions.

You will design and build scalable data pipelines with Python, develop ETL/ELT processes, ingest data from APIs, databases and files, and collaborate with Data Science, BI, Product and Software Engineering teams.

Qualifications

• Must have strong Python data processing and transformation experience.
• Experience designing, developing, and consuming APIs and data integration services.
• Solid software development practices: clean code, version control, testing, CI/CD.

Responsibilities

• Design and develop scalable data pipelines and data services in the cloud.
• Build and maintain robust ETL/ELT processes with modular, reusable code.
• Ingest data from APIs, databases, files, and third-party systems.
• Develop APIs and data ingestion services as needed.
• Apply software engineering best practices: tests, reviews, CI/CD, logging, monitoring.

Skills

Python for data processing

APIs & data integration

CI/CD & software practices

Containers & OpenShift

Cloud platforms (AWS/Azure/GCP)

Data Lakes & Data Warehouses

Databricks & Spark

Big data (Spark/Hadoop)

ETL/ELT pipelines

Python data libraries (Pandas, NumPy)

Tools

OpenShift

Databricks

PySpark

PostgreSQL

SQL Server

MongoDB

Job description

INNOCV Solutions S.L.U. in Madrid is seeking a data engineer to design, develop, and maintain scalable data pipelines in the cloud, ensuring data availability, quality and governance for strategic decisions.

You will design and build scalable data pipelines with Python, develop ETL/ELT processes, ingest data from APIs, databases and files, and collaborate with Data Science, BI, Product and Software Engineering teams.