20 publicaciones de empleo destacadas en databricks platform engineer (¡Están contratando!)

Senior Engineer — Data Ingestion & Preparation (CSL)
Getnet —Madrid, Madrid provincia
- Azure
- DevOps
- SQL
- Seguro dental
- Seguro de vida
Solicitud rápida
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- Jornada completa
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- AWS
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- Jornada completa
- Teletrabajo
- Azure
- Java
- AWS
Solicitud rápida
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- DevOps
- Inglés
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NN Group —Madrid, Madrid provincia
- Jornada completa
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- Azure
- Inglés
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Appodeal —Barcelona, Barcelona provincia
- Oficina
- SQL
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Solicitud rápida
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Preply —Barcelona, Barcelona provincia
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- Trabajo híbrido
- Inglés
- SQL
- AWS
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Affinity Petcare —Barcelona, Barcelona provincia
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- Azure
- Informática
- Salesforce
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NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
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Prima —Madrid, Madrid provincia
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- Machine learning
- Desarrollo de software
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- Abono gimnasio
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Prima —Madrid, Madrid provincia
- Teletrabajo
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- AWS
- Teletrabajo opcional
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Keyrus Portugal —Alcobendas, Madrid provincia
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- Inglés
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Solicitud rápida
Snowflake Database Administrator (DBA)
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Data & AI Strategy Data Science Analyst
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Data Engineer - Life & Health Reinsurance
Munich Re —Madrid, Madrid provincia
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Senior Engineer — Data Ingestion & Preparation (CSL)

Getnet -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Beneficios

Seguro dental
Seguro de vida

Cualificaciones

CI/CD
Azure
Data lake
DevOps
Spark
SQL
POS
APIs
ETL
Apache

Descripción completa del empleo

✨ Your talent drives our future

Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms.

We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay.

Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility.

We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business.

Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank.

Imagine your future. Care for your career. Simplify your journey.

This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity.

We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future.

Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes.

✨ If you want to be part of the next generation of financial solutions, this is the place.

Act in a hands-on capacity to implement, operate, and stabilize data ingestion and preparation processes, ensuring data is properly structured and ready for publication in the Common Semantic Layer (CSL), in alignment with the semantic data dictionary defined by the external provider

What you'll do

Role Mission

Design, implement, and operate data ingestion pipelines (batch and/or streaming) from multiple sources (e.g., SEP, NUEK, fraud systems, webservices)
Ensure data availability in the Stage layer as a faithful replica of source systems
Prepare and transform datasets into Common and Refined layers, following CSL standards
Apply business transformation rules aligned with data mappings (e.g., OneGMR, Churn)
Work closely with the external provider to ensure adherence to the semantic data dictionary and mapping requirements
Identify, troubleshoot, and resolve ingestion issues (failures, delays, inconsistencies)
Ensure minimum data quality standards (completeness, consistency, standardization)
Document pipelines, transformations, and data sources
Support dependency resolution with local teams and external providers
Map technical dependencies across pipelines, sources, and deliverables

Technical Skills

Hands-on experience with:
- Databricks / Apache Spark
- Azure Data Factory (or similar ETL/ELT tools)
- Advanced SQL
Experience with data ingestion processes (ETL/ELT)
Knowledge of Data Lake / Lakehouse architectures
Experience integrating APIs, file-based ingestion (SFTP/B2B), and third-party systems
Basic knowledge of CI/CD and version control (Azure DevOps or similar)

Nice to Have

Experience in multi-country / multi-source environments
Understanding of data modeling and semantic layers
Experience with financial / transactional data
Familiarity with tools such as Databricks, Purview, or similar

Profile

Strong hands-on mindset
Proactive problem solver
Autonomous execution capability
Effective communication with technical and functional teams

What we offer

Medical insurance

Dental insurance

Wellhub

Life insurance

Annual healthcare

Transportation allowance

Meal voucher/food voucher

Profit sharing program

Access to self-development programmes

Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site

Next step

Apply and if you know someone who might be looking for this opportunity, share it.

Solicitud rápida

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Quiero recibir la alerta de empleo más reciente de databricks platform engineer

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