20 publicaciones de empleo destacadas en pyspark data engineer (¡Están contratando!)

Senior Data Engineer
Luxoft —En remoto
- Teletrabajo
- Azure
- Informática
- Inglés
1d
Data Engineer & Analytics - Azure - Healthcare
ERNI Spain —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Azure
- Inglés
- Abono gimnasio
4d
Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- DevOps
Solicitud rápida
Databricks Data Engineer
SDG Group —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Formación continua
- Teletrabajo opcional
Solicitud rápida
Senior Data Engineer (Data Scraping), Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- Máster
- Bases de datos
- AWS
- Teletrabajo opcional
Azure Synapse Senior Data Engineer
Indra —Madrid, Madrid provincia
- Azure
- Inglés
- SQL
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Generative AI
TMC —Madrid, Madrid provincia
- Azure
- Inteligencia artificial
- Python
Data Engineer AWS
SDG Group —Madrid, Madrid provincia
- Teletrabajo
- Informática
- Bases de datos
- SQL
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Data Scientist
ThetaRay —Madrid, Madrid provincia
- Informática
- Inglés
- Machine learning
AI Engineer (Full Remote)
Everfield —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Azure Synapse Senior Data Engineer
Minsait —Madrid, Madrid provincia
- Azure
- Inglés
- SQL
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Consultor/a Data Engineer (Azure Synapse)
Minsait —Madrid, Madrid provincia
- Azure
- SQL
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Palantir Foundry Engineer
Luxoft —En remoto
- Teletrabajo
- Inglés
- SQL
- APIs
9d
Azure Data Solutions Engineer
SDG Group —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Bases de datos
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
#CORE DIGITAL CAMPUS - Senior Data Engineer – SAP BI & Palantir Foundry F/M
Airbus Helicopters España, SA —Albacete, Albacete provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
- Seguro de vida
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Doctorado
Lead Data Engineer (m/f/d)
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Azure
- Informática
- Plan de pensiones
4d
Senior Data Engineer (m/f/d)
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Azure
- Informática
- Plan de pensiones
4d
Senior Business Intelligence Engineer
Avanade —Madrid, Madrid provincia
- Azure
- Investigación
- Máster
11d
DevOps Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- AWS
- Desarrollo de software
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida

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Senior Data Engineer

Luxoft -
En remoto

Solicitar ahora

Detalles del empleo

Hace 1 día

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

12/06/2026

Req. VR-110316

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