Top Data Engineer Jobs in Seville

As a Senior Data Engineer, you will design, develop, and optimize data architecture and ETL/ELT pipelines using Snowflake. You will enhance data operations, ensure seamless data integration, and collaborate with data scientists and analysts. The role includes mentoring junior engineers and implementing data governance best practices.

As a Senior Data Engineer, you will develop and optimize data pipelines for a new Consumer Data Lake, ensuring data accuracy and compliance. You will collaborate with architects and product owners to translate design into functionality while monitoring data quality and implementing security measures.

As a Director of Data Engineer, you'll design, build, and maintain data pipelines, ensuring data quality and consistency while collaborating with developers and business stakeholders to produce actionable insights. You will use Microsoft Fabric for data ingestion, transformation, and publication, playing a key role in enhancing business intelligence through data automation and governance.

As a Senior Data Engineer, you will design and implement databases and pipelines, develop end-to-end solutions for data processing, and work with stakeholders to ensure data security and usability. You'll handle scalable solutions for data and machine learning throughout the data lifecycle.

As a Sr. Data Engineer, you will optimize data processing pipelines for audio initiatives, design and maintain data workflows, and collaborate closely with the TTS team to enhance data quality for AI model training within the Research Data Team.

The Data Developer will collaborate with developers and regulatory analysts to manage regulatory data and develop data product solutions for large applications. Responsibilities include software design, integration, troubleshooting, and updating databases with supplier data using programming methods like C# and SQL.

As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, build reliable data pipelines, enhance data quality and compliance, mentor junior team members, and collaborate with cross-functional teams to improve operational efficiency and support complex data challenges.

Canonical is seeking a Software Engineer for its Data Infrastructure team. The role involves developing automation solutions for data platform operations using Python, collaborating with a distributed team, and ensuring fault-tolerant systems. Successful candidates will have experience in software development and distributed systems, with an emphasis on openness and collaboration.

The role involves owning end-to-end LeadGen and Lead Allocation pipelines, developing and maintaining microservices, automating workflows, integrating data from various sources, and collaborating with business teams to translate objectives into technical projects.

As a Sr. Staff Data Engineer at Netskope, you will work on developing software tools for data processing, analyzing structured and unstructured data, and creating advanced regular expressions for data security solutions. You will collaborate with a skilled team to enhance data loss prevention technology.

As a Senior Data Engineer at Modash, you will take ownership of building data pipelines, collaborating with team members, and ensuring data quality. You will contribute to product features from planning to implementation, while having the autonomy to influence technical decisions in a fully remote environment.

The Senior Data Engineer role involves processing and analyzing data using Python, managing CI/CD pipelines via Azure DevOps, and controlling source code with Git. The engineer will work on large-scale data processing with Databricks, leverage Microsoft Azure for cloud computing, and execute data transformations using SQL. They may also engage with nice-to-have technologies like .NET, Kubernetes, and Infrastructure as Code.

As a Senior Data Engineer at Zencore, you will leverage your expertise in Google Cloud to assist clients in their data transformations and cloud migrations. You will implement data processing solutions involving ETL/ELT pipelines, data warehousing, and streaming data systems, providing strategic advice and working closely with customer teams to ensure success.

As a Senior Data Engineer, you will design, implement, and maintain data architecture and infrastructure, manage ETL processes, enforce data quality standards, and collaborate with stakeholders to address their data needs while optimizing performance and documentation.

The Senior Machine Learning Engineer will develop and maintain tools and infrastructure to support ML model training, experimentation, and deployment. Responsibilities include optimizing GPU utilization, integrating experiment tracking tools, and collaborating with ML engineers to enhance development workflows.

As a Senior Data Engineer, you will design, implement, and maintain data pipelines and services, collaborating with backend engineers and data scientists to transform raw data into trusted insights, while also improving data quality and cost-efficiency.

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and ETL processes, using technologies such as PySpark and Airflow. They will work closely with cross-functional teams to ensure data quality and compliance, while continuously evaluating new tools to enhance data infrastructure.