Top Data Engineer Jobs in Valencia

As a Data Engineer II, you'll design and maintain data pipelines, optimize workflows, collaborate with data teams, and ensure data reliability using cloud technologies.

The Data Engineer II will develop and optimize data platforms, build scalable pipelines, enhance existing workflows, and collaborate with teams for data solutions.

The Senior Data Engineer leads the design and implementation of data infrastructure, ensuring reliability, scalability, and automation while mentoring junior engineers and developing data models.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Senior Software Engineer, you will lead backend development for the Merchant Data Platform, mentor junior engineers, ensure system reliability, and collaborate in product development. Your role involves project management, technical planning, and maintaining high availability of services.

The Data Engineer will set up data migration processes, assist with automation of BI processes, improve analytics infrastructure, and work with various APIs for data uploads.

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

As a Data Engineer, you'll design and deliver data products, collaborate with teams to translate requirements, and develop ETL workflows. You'll ensure data accuracy and contribute to the architecture of Fever's data ecosystem, fostering best practices.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

The Senior Data Engineer designs and implements data infrastructure, oversees data pipelines, and ensures data reliability while mentoring junior staff. Responsibilities include automating governance, optimizing data performance, and collaborating with various stakeholders.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Data Engineer will design and build data pipelines, develop database solutions, create data algorithms, optimize systems, ensure data quality, and collaborate with other teams.

The Data Engineer will design, develop, and maintain data pipelines, Lakehouse architectures, and support Azure Databricks integrations with SQL Server data warehouses, ensuring data quality and performance.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design and maintain scalable real-time data architectures using ClickHouse and Kafka. Configure Debezium and MSK connectors, optimize pipelines and DB performance, review team code and solutions, and lead platform standards and adoption across teams.

Design, build, and optimize ETL/ELT pipelines, ensure data quality, and collaborate with teams to deliver scalable data solutions.

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.

The Senior Data Engineer will evolve data infrastructure, manage data governance, and ensure reliability while collaborating with ML and analytics teams to provide well-governed datasets.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

As a Senior Data Platform Engineer, you will lead complex data engineering projects, design core data platforms, mentor engineers, and develop automation capabilities for data workflows.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

Design, implement, and operate cloud-based data infrastructure focusing on scalability and security, and collaborate with teams on data pipelines and models.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

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.