Top Data Engineer Jobs in Seville

Develop, deploy and maintain ETL pipelines to gather, validate and transform data from APIs and web sources. Work with the data engineering team to run and improve pipelines on a Dagster/BigQuery platform, ensure best coding practices, document workflows, and help maintain high data quality for clean energy datasets.

Design and develop data pipelines using Azure Databricks, integrating with SQL Server environments, building Lakehouse architectures and supporting analytics.

The Data Engineer will design and maintain data pipelines using Azure Databricks and SQL Server, ensuring data quality and performance while integrating analytics layers.

Design and build data pipelines, acquire and store data, transform data into insights, optimize systems, and ensure data quality while collaborating with various stakeholders.

The Renewables Measurement & Data Engineer will validate renewable measurement data, support on-site measurements, troubleshoot systems, and analyze resource potential and asset performance.

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 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 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.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Tableau Developer will design, build, and maintain Tableau dashboards, optimizing performance and ensuring data accuracy while collaborating with stakeholders.

The Junior Data Engineer will design and optimize data infrastructure on GCP, focusing on ETL/ELT pipelines and ensuring data quality, governance, and security.

As a Data Analytics Engineer, you'll design and maintain ETL pipelines, ensure data quality, and collaborate with various teams to meet data needs.

The Agricultural Engineer will develop ETL processes, automate quality control, validate databases, and coordinate technical needs between teams.

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.

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.

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.

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 Architect/Analytics Engineer will design data architectures, optimize SQL, ensure data accuracy, and create scalable data solutions while contributing to product strategy and documentation.

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

The Principal Customer Data Platform Engineer will manage the customer data architecture, focusing on tracking, identity resolution, compliance, and data governance for Airalo. They'll collaborate with cross-functional teams to ensure systematic data flow, integrity, and compliance across various platforms and lead architectural decisions.

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.