11 publicaciones de empleo destacadas de databricks platform en md (¡Están contratando!)

Integration Analyst
Sika —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- CRM software
- Informática
- Sistemas ERP
- Plan de pensiones
Solicitud rápida
Data Engineer Revenue Operations
Blip Global —Madrid, Madrid provincia
- Español
- Ventas
- Inglés
Solicitud rápida
Senior Data Insights Consultant
MAP —Madrid, Madrid provincia
- Inglés
- Oficina
- SQL
Solicitud rápida
13d
Forward Deployed AI Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Azure
- Informática
- DevOps
Senior Generative AI Engineer
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Máster
8d
Senior Machine Learning Engineer
Getnet —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Doctorado
- Informática
- Seguro dental
- Seguro de vida
Solicitud rápida
Forward Deployed AI Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Media jornada
- Trabajo híbrido
- Azure
- Informática
- DevOps
Business Analytics Manager
Asea Brown Boveri S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- SQL
Solicitud rápida
Azure Data Architect
Kenos Technology —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Senior AI Engineer
Trinetix —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
- APIs
Solicitud rápida
2d
Engineer Wind Farm Data Management (m/f/d)
Nordex SE —Madrid, Madrid provincia
- Informática
- Inglés
- Desarrollo de software

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Integration Analyst

Sika -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Plan de pensiones

Cualificaciones

CRM software
Informática
Estructura de datos
Sistemas ERP
Bash
SQL
Scripting
APIs
ETL
Agile
Cloud
Pruebas de integración
Python
Shell Scripting

Descripción completa del empleo

Company Description

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industrial manufacturing. Sika has subsidiaries in 103 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation sector toward greater environmental compatibility. With more than 34,000 employees, the company generated sales of CHF 11.76 billion in 2024.

Job Description

Take full ownership and management of the end-to-end Requirements Engineering process.
Perform detailed analysis of source system data models, structures, and metadata.
Support source-to-target data mapping between applications, APIs, and events.
Document canonical models, semantic mappings, and reusable integration patterns.
Assess the technical feasibility of integration use cases.
Evaluate optimal integration patterns (API, events…).
Support architects in defining the target solution design.
Produce functional and technical specifications for integration and data flows.
Define interface contracts, mapping rules, data quality rules, error-handling rules, and validation checks.
Maintain clear and accurate documentation across all integration projects.
Work closely with Data & AI Integration Architects to ensure alignment with enterprise architecture.
Partner with Integration Engineers and Application Owners to implement data flows efficiently.
Support Data and AI Platform teams in designing ingestion strategies and metadata standards.
Develop detailed test scenarios for interface and data validation.
Support engineers in integration testing, regression testing, and data quality testing.
Validate end-to-end data flows post-implementation.
Contribute to continuous improvement of integration standards, templates, and best practices.
Support governance processes for metadata, lineage, and API/interface versioning.

Qualifications

Required

Higher education in Computer Science, Information Systems, or related technical field.
3–5 years of experience in system integration, data analysis, or API-based data flows.
Deep understanding of data modeling, data quality, metadata, and semantics.
Ability to read and understand API specifications (OpenAPI…).
Experience with integration technologies (e.g., MuleSoft, Boomi, API gateways…).
Familiarity with cloud platforms.
Experience working in agile environments.
Excellent communication skills with technical stakeholders.

Additionally desired

Previous experience as an API developer, data analyst, or integration engineer.
Experience with event-driven architectures.
Background in ERP or CRM data structures (SAP, Salesforce, etc.).
Basic scripting (Python, SQL, Bash) for data exploration.
Experience with ETL/ELT tools and lakehouse technologies (e.g., Databricks).

Additional Information

Sika – Building Trust. Trust is the most important thing for us. We trust in the capabilities of all our Sika team members - every day.
Friendly, personable, and often surprisingly uncomplicated, that's how many of our employees describe their working relationship at Sika. We call this the Sika Spirit.
We offer an attractive employment package with good social benefits, excellent pension fund and accident insurance solutions

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Solicitud rápida

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databricks platform empleos en md

Integration Analyst

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Senior Data Insights Consultant

Forward Deployed AI Engineer (f/m/d)

Senior Generative AI Engineer

Senior Machine Learning Engineer

Forward Deployed AI Engineer (f/m/d)

Business Analytics Manager

Azure Data Architect

Senior AI Engineer

Engineer Wind Farm Data Management (m/f/d)

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