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

Senior Data Engineer
Luxoft —En remoto
- Teletrabajo
- Azure
- Informática
- Inglés
6d
Collibra Platform Engineer
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Cloud Data Engineer
Aliando —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- SQL
- Seguro médico privado
- Seguro dental
Solicitud rápida
2d
Data Scientist/Data Engineer Analyst/Consultant for Supply Chain
Accenture —Gijón, Asturias provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Cloud Data Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- SQL
Senior Data Engineer
Edelman —En remoto
- Jornada completa
- Teletrabajo
- DevOps
- SQL
- AWS
Azure Data Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
Senior Data Engineer
SITA Switzerland Sarl —Barcelona, Barcelona provincia
- Turno de 8 horas
- Azure
- Oficina
- SQL
- Teletrabajo opcional
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
1d
Senior Data Engineer
Daniel J. Edelman Holdings —En remoto
- Jornada completa
- Teletrabajo
- DevOps
- SQL
- AWS
Analista Programador/a - Área Data
Alcampo —Zaragoza, Zaragoza provincia
- Jornada completa
- Teletrabajo
- Inglés
- Java
- Bases de datos
- Reparto de beneficios empresariales
- Formación continua
Solicitud rápida
Senior Data Engineer
Vitrolife Group —Paterna, Valencia provincia
- Trabajo híbrido
- Azure
- DevOps
- SQL
20h
Senior ML Computer Vision Engineer
N-iX —En remoto
- Teletrabajo
- Azure
- Doctorado
- Informática
Solicitud rápida
16h
Senior Machine Learning Platform/Ops Engineer
Preply —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Máster
- SQL
Solicitud rápida
Senior Data Engineer
Titan OS —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
Data Engineer Azure
Galeo Tech —Madrid, Madrid provincia
- Azure
- Máster
- SQL
Staff MLOps Engineer (AI/ML Platform)
Cint —En remoto
- Jornada completa
- Teletrabajo
- Oficina
- Java
- AWS
Solicitud rápida
Data Engineering Manager
Prima —En remoto
- Teletrabajo
- SQL
- AWS
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Agentforce Forward Deployed Engineer
Salesforce —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Español
- Informática
1d
Data & Analytics Academy – Future Data Analytics Consultant / Engineer Madrid
The Information Lab Italia Srl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- Sin necesidad de experiencia
Solicitud rápida

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Senior Data Engineer

Luxoft -
En remoto

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Detalles del empleo

Hace 6 días

Cualificaciones

Optimización del rendimiento
Elasticsearch
Azure
Informática
Data lake
Big data
Inglés
Sistema operativo Windows
Bash
Arquitectura de microservicios
SQL
Docker
PostgreSQL
Scripting
APIs
ETL
Cloud
Python
Shell Scripting

Descripción completa del empleo

Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Skills

Must have

Readiness to work until 8.00 pm CET (no need to do overtimes)

Overall years of experience required 8+ (at least 1+ year in a Lead/Architect position)

Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).

Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.

Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.

Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.

Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.

Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)

Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.

Experience integrating metadata and governance processes into cloud-based data platforms

Certification in Azure, Databricks, or other relevant technologies is an added advantage

Experience with cloud-based analytical databases.

Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.

Experience with Python and Python-based ETL tools.

Experience with shell scripting in Bash, Unix or windows shell is preferable.

Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Nice to have

Experience with Elasticsearch

Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.

Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.

Ability to plan, estimate and track progress of implementing features

Computer Science and data science academic and education credentials

Other

Languages

English: B2 Upper Intermediate

Seniority

Lead

Remote Spain, Spain

Req. VR-110316

DWH Development

Cross Industry Solutions

15/06/2026

Req. VR-110316

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