11 publicaciones de empleo destacadas en database architect (¡Están contratando!)

Senior Data Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- AWS
- Python
Solicitud rápida
Enterprise Account Executive
MongoDB —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Ventas
- Oficina
Senior Backend Engineer (Python / FastAPI)
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- AWS
- Machine learning
9d
Senior Data Engineering (Tech Lead)
Nexthink —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
- Vacaciones pagadas
Solicitud rápida
Senior Platform Engineer
Axiomatic_AI —Barcelona, Barcelona provincia
- De guardia
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
Data Engineer
Turner & Townsend —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
Senior Backend Engineer - Golang, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- SQL
Sales Engineer GridGain
MariaDB plc —En remoto
- Teletrabajo
- Oracle
- Ventas
- DevOps
Solicitud rápida
Senior Platform Engineer
bunch —España
- Jornada completa
- Teletrabajo
- DevOps
- AWS
- JavaScript
GTM Engineer
Synmatch AI —España
- Teletrabajo
- Informática
- Ventas
- Máster
- Abono gimnasio
AI Engineering Team Lead
leadtech —España
- Jornada completa
- Teletrabajo
- Informática
- DevOps
- Oficina
- Flexibilidad horaria
Solicitud rápida
3d

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Senior Data Engineer

Appodeal
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Cualificaciones

Spark
AWS
ETL
Escalabilidad
Cloud
S3
Apache
Python

Descripción completa del empleo

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we're more than just a company—we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here's what we value, and what we hope you do too:

Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.

Key Responsibilities:

Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.
Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).
Design, develop, test, and orchestrate data workflows to streamline pipelines.
Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.
Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.

Requirements:

3-5+ years of professional work experience in data engineering.
Strong expertise in Python and common data frameworks (Pandas, PySpark).
Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses.
Experience with data orchestration tools (Dagster, Airflow).
Experience with streaming technologies (Kafka, Spark structured streaming).
Experience with cloud platforms (AWS S3, EC2 etc.)
OLAP Databases: Hands-on experience with ClickHouse and/or Apache Druid for real-time analytics and low-latency data serving.
Strong problem-solving skills and ability to excel in a fast-paced startup environment.
Based in Barcelona or ready to relocate to Barcelona.

Nice to have:

Experience with Databricks platform.
Experience in building ML data platforms.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Join us and help shape the future of mobile app success!

Solicitud rápida

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