Data Engineer For Ai Applications
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Role details
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Job description
????????Logicalis Spain provides IT services and consulting.Its Data & AI team delivers data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture projects across the full data lifecycle for national and international clients.??????Define and design data models for new corporate applications and AI agents; Design exploitation models and consumption layers for different business use cases; Contribute to defining reusable data structures and semantic models; Translate functional business requirements into efficient and scalable data modeling solutions; Ensure data quality, consistency, and accessibility for applications and analytical processes; Collaborate with technical and business teams to ensure correct interpretation and use of information; Contribute to defining data modeling and data governance best practices within projects; Participate in initiatives to evolve the data platform and associated exploitation models.??????????Demonstrable experience as a Data Engineer, Data Modeler, or in similar positions; Strong experience in conceptual, logical, and physical data modeling; Knowledge and experience in designing data exploitation models; Strong SQL skills; Experience with Data Warehouse and/or Lakehouse architectures; Ability to understand business needs and transform them into reusable data solutions while collaborating with multidisciplinary technical and functional teams; Ability to work autonomously, apply technical judgment, and communicate with different stakeholders; Nice to have: Snowflake experience, AWS Cloud experience, knowledge of data ecosystems designed for application-based artificial intelligence consumption.???????Immediate start; Permanent contract with professional development and career growth opportunities; Competitive compensation package based on the candidate’s value; Flexible compensation plans, including restaurant, transport, and childcare cards; Medical insurance and GYMPASS; Training plans tailored to each profile, including technical courses, official certifications, and language training; Employee discount portal; Collaborative work environment.#J-*****-Ljbffr
Requirements
Demonstrable experience as a Data Engineer, Data Modeler, or in similar positions; Strong experience in conceptual, logical, and physical data modeling; Knowledge and experience in designing data exploitation models; Strong SQL skills; Experience with Data Warehouse and/or Lakehouse architectures; Ability to understand business needs and transform them into reusable data solutions while collaborating with multidisciplinary technical and functional teams; Ability to work autonomously, apply technical judgment, and communicate with different stakeholders; Nice to have: Snowflake experience, AWS Cloud experience, knowledge of data ecosystems designed for application-based artificial intelligence consumption.
Benefits & conditions
Immediate start; Permanent contract with professional development and career growth opportunities; Competitive compensation package based on the candidate’s value; Flexible compensation plans, including restaurant, transport, and childcare cards; Medical insurance and GYMPASS; Training plans tailored to each profile, including technical courses, official certifications, and language training; Employee discount portal; Collaborative work environment. #J-*****-Ljbffr
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