Design, build, and optimize scalable data pipelines and architectures for analytics and reporting. Develop ELT/ETL workflows using Azure Data Factory and Databricks, integrating SAP S/4HANA and other operational sources. Ensure high-performance data processing, monitoring, testing, and compliance with security policies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Capitole is one of the best IT consulting companies and the place you want to be. Why?
🤝 People in the center. We believe in a different model, more human, with the employee in the center of our company
👨 💻 Interesting projects. Cutting-edge technologies. Agile methologies
😁 Happiness and low turnover rate
🎓 €1200 per year training budget
⌚ Flexible working hours
🌏 More than 900 skilled professionals, from more than 27 nationalities
🎯 Tailored career path
📆 Monthly follow-ups. 360º continuous evaluation
🩺 Private health insurance
💰 Flexible retribution program
🏋️ ♂️ Wellhub: access to fitness, wellness, and mental health support
📄 Processing of the work permit for you to come to Spain with your family
📢 Technological communities
🥳 Lots of amazing events
Interested in joining us? Take a look at this opportunity 👇
🚀 We are seeking a skilled, proactive, and Spain-resident Data Engineer with 3+ years of experience to join our team and design, build, and optimize the scalable data pipelines and architectures that power our analytics and reporting, with a strong focus on maintaining high-performance data processing systems and integrating enterprise operational systems!
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Technical Knowledge🧐
- Strong proficiency in Python and SQL to develop and optimize scalable data transformation logic.
- Ability to design robust relational and dimensional data models, complete with clear metadata, lineage management, and data quality controls.
- Solid experience using Azure services (such as ADLS Gen2 and Azure Data Factory) to build and operate reliable workflows.
- Mastery of Databricks technologies including PySpark, Delta Lake, and SQL Warehouses to develop high-performance data processing solutions.
- Familiarity with DevOps practices using Git and Azure DevOps, alongside Infrastructure as Code (IaC) concepts, to ensure consistent and repeatable deployments.
✨Role and Responsabilities:
- Build and automate scalable ELT/ETL pipelines using Azure Data Factory and Databricks (PySpark, Delta Lake).
- Ingest and transform data from SAP S/4HANA and other operational sources to create reliable, well-structured datasets for analytics and reporting.
- Implement robust monitoring, testing, and reliability practices to ensure high-quality, trustworthy data pipelines.
Preferred Qualifications:
- Hands-on experience integrating SAP S/4HANA data sources, such as CDS Views and OData/APIs.
- Solid understanding of supply chain processes, including planning, logistics, and production.
- Familiarity with SAP IBP data structures and planning processes.
- Proficiency with business intelligence tools, specifically Power BI, for delivering actionable insights.
- Knowledge of enterprise data security and compliance requirements, including GDPR, secure data sharing, and auditing.
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🤝Soft Skills & Working Style:
- Strong communication skills with the ability to collaborate effectively across global, cross-functional teams and cultures (Professional English proficiency required).
- A product-oriented mindset focused on simplification, standardization, automation, and delivering measurable business value.
- A collaborative, proactive working style with the confidence to operate successfully in agile delivery environments.
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The employee will adhere to information security policies:
-Will have access to confidential information related to Capitole and the project they are working on.
-Must comply with the security policies and internal policies of the company and the client.
-Must sign an NDA.
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