20 publicaciones de empleo destacadas de databricks platform en madrid, 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
Data Engineer (Google Cloud Platform)
SDG Group —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Bases de datos
- SQL
- Formación continua
- Teletrabajo opcional
Solicitud rápida
Senior Solutions Architect – Data & AI (Google Cloud Platform)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
- Liderazgo
14d
Cloud Data Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- SQL
AZURE CLOUD ENGINEER – Data & Analytics Platform
IT Partner España —Madrid, Madrid provincia
- 48.000 € al año
- De guardia
- Trabajo híbrido
- Azure
- DevOps
- Sistema operativo Windows
Python Engineer Data Domains
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Account Executive - Data & AI
The Information Lab Italia Srl —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Ventas
- Inglés
Solicitud rápida
Data Architect
Prodware Group —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
Business Intelligence Consultant
Avanade —Madrid, Madrid provincia
- Azure
- Investigación
- Máster
Lead Data Scientist
SITA Switzerland Sarl —Madrid, Madrid provincia
- Turno de 8 horas
- Azure
- Informática
- Oficina
- Teletrabajo opcional
Senior Data Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Informática
Software/Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
8d
Data Consultant - German Speaker
Keyrus Portugal —Alcobendas, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Solicitud rápida
Technical Lead – AI & Data Platforms
eXperience IT Solutions —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
11h
Data Science Manager for Supply Chain
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Data Scientist
Experian —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Solicitud rápida
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
AWS Data Engineer (IoT & Data)
Galeo Tech —Madrid, Madrid provincia
- Azure
- Máster
- SQL

Quiero recibir la alerta de empleo más reciente de databricks platform en madrid, md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

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

Refina tu búsqueda

databricks platform empleos en madrid, md

Integration Analyst

Data Engineer Revenue Operations

Data Engineer (Google Cloud Platform)

Senior Solutions Architect – Data & AI (Google Cloud Platform)

Cloud Data Engineer

AZURE CLOUD ENGINEER – Data & Analytics Platform

Python Engineer Data Domains

Account Executive - Data & AI

Data Architect

Business Intelligence Consultant

Lead Data Scientist

Senior Data Engineer (f/m/d)

Software/Data Engineer

Director, Data Engineering (Capital Markets)

Data Consultant - German Speaker

Technical Lead – AI & Data Platforms

Data Science Manager for Supply Chain

Data Scientist

Head of Data and AI

AWS Data Engineer (IoT & Data)

Quiero recibir la alerta de empleo más reciente de databricks platform en madrid, md

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión