Top Data Engineer Jobs in Valencia

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines, model analytics-ready data, and collaborate with teams to enhance data reliability and observability.

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Data Engineer will design, build, and maintain data pipelines, ensuring data quality, governance, and performance optimization while collaborating with cross-functional teams.

As a Senior Data Engineer at Fever, you'll design and deliver data products, build ETL workflows, and collaborate with cross-functional teams to ensure data accuracy and meet business needs.

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

The Senior Data Engineer will build and maintain scalable data pipelines, optimize costs, and redefine data architecture for growth, performance, and reliability, collaborating with various teams to ensure data quality and efficiency.

As a Senior Data Engineer, you will deliver complex projects, manage customer relationships, and mentor junior engineers while using Databricks and various cloud platforms.

As a Senior Data Engineer, you'll optimize data infrastructure, enhance performance, design data models, and collaborate with analysts to develop data pipelines for business insights.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

Design and build AI-driven data products and investment platforms, developing ETL pipelines, ensuring data quality, and integrating structured and unstructured data.

The Senior Data Engineer will lead the design and evolution of scalable data architectures, mentor team members, build data pipelines, and integrate Generative AI into workflows.

Design, build, and optimize scalable data models and pipelines using Airflow, Snowflake/Redshift, and Kafka. Implement streaming architectures, integrate third-party data sources/APIs, establish monitoring and maintenance, and collaborate with data scientists, analysts, and stakeholders to ensure reliable, accessible data infrastructure.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Lead the design and optimization of data pipelines and infrastructure, ensuring data availability and quality while collaborating with data scientists and adopting new technologies.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.

Design and develop features for the data platform, focusing on data ingestion and processing. Architect scalable data pipelines, mentor team members, and handle operational issues.

As a Senior Data Engineer, you'll design and maintain data pipelines, transform raw data into insights, and support multiple teams with reliable data analytics.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.