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91,000+ live jobsData Engineer DataStage / Cloud Pak For Data (CP4D) | Junior, Mid & Senior
Remote, Madrid·Added 20 days ago (last checked 26 Oct)
58 open roles
Our summary
- Work mode
- Remote (Madrid)
- Contract
- Permanent
- Benefits
- Private health insurance, flexible pay plan, meal vouchers, gym access



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Skills
This job advert was originally written in Spanish.
Requirements
What we're looking for
Experience in IBM DataStage and/or Cloud Pak for Data (CP4D).
Knowledge of relational databases: Oracle, SQL Server, DB2, among others.
Experience in data integration, transformation, and quality.
Knowledge of SQL and ETL process optimization.
Experience in Unix/Linux environments.
Nice to have
Experience in the insurance sector or similar is valued.
Experience in Cloud environments (Azure, AWS, or GCP) and/or modern data platforms (Databricks, Snowflake, dbt, Fabric...) is valued.
Pay & benefits
What you'll get
> Immediate start with a leading company in the IT sector with a high degree of expertise in the Data & Analytics area, where we are in the midst of an expansion process.
> Job stability through an indefinite contract with wide opportunities for professional development and growth within the company.
> 100% remote working modality from anywhere in Spain.
> Very competitive salary package in accordance with the candidate's value.
> Possibility of accessing flexible compensation plans (restaurant card, transport card, and childcare card).
> Medical insurance and GYMPASS.
> Training plans adapted to each profile (technical courses, official certifications, language training...).
> Special discount portal for employees.
> Good working environment and a very collaborative setting.
Discover this offer and many more on our Careers Page. 🚀
The role
At Logicalis Spain, we want to recruit a squad of Data Engineers (Junior, Mid, and Senior) with experience in IBM DataStage and Cloud Pak for Data (CP4D).
The Data, Analytics & AI team at Logicalis works with national and international clients, carrying out important projects in data engineering, artificial intelligence, and advanced analytics, data strategy, governance, integration, and architecture, covering the entire data lifecycle.
What you'll do
Development, maintenance, and evolution of ETL processes with IBM DataStage and/or Cloud Pak for Data (CP4D).
Design and implementation of data integration solutions.
Performance optimization and continuous process improvement.
Incident resolution and technical support for data platforms.
Participation in migration and modernization projects towards cloud environments.
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