Top Data Engineer Jobs in Spain

Kyndryl seeks a Data Engineer to implement and maintain Data and MLOps platforms using Google Cloud technologies. The role requires collaboration with teams to develop machine learning and data solutions, requiring strong technical expertise in data services, Python, and MLOps practices.

As a Junior Data Engineer at Fever, you will be involved in building and managing data infrastructure and tools to support decision-making across various business units. Your role will include developing data quality monitoring processes, orchestrating ETL workflows, and collaborating with teams to handle diverse data sources and solve business problems.

As a Data Engineer at Kyndryl, you will implement and maintain data and MLops platforms, utilize Google Cloud tools, and work collaboratively with teams to solve complex data problems, ensuring data management and security throughout its lifecycle.

As a Data Engineer, you will design, develop, test, and support data engineering pipelines using Ab Initio on AWS. Your role includes working with batch and continuous flows, diagnosing production issues, and collaborating with Agile-Scrum teams.

As a Data Engineer at HBX Group, you will utilize your extensive DBA experience to manage database environments, particularly with PostgreSQL in cloud settings. Responsibilities include performance tuning, security best practices, infrastructure as code using tools like Terraform, and collaborating in a remote team. You will be integral to supporting ETL processes and data warehousing initiatives.

As a Data Engineer at TD SYNNEX, you will design, build, and optimize data infrastructure, focusing on ETL workflows using Azure, Snowflake, and Python, while also applying advanced techniques for business insights and creating dashboards in Power BI.

As a Principal Data Engineer at Autodesk, you'll design and optimize data pipelines, manage data architecture, and support analytics projects while collaborating with developers and data scientists. Your role includes automating processes, enhancing data delivery, and employing big data and cloud technologies, primarily using AWS and SQL.

As a Principal Data Engineer, you will drive customer data management by designing and developing engineering solutions that enhance data security and compliance. You will collaborate with stakeholders to align platforms, define ETL strategies, and ensure adherence to industry standards while utilizing big data tools and cloud services.

The Data Engineer will design, optimize, and maintain scalable data pipelines and data lake architectures, work with cloud platforms, and collaborate with teams to understand data needs, ensuring data integrity and compliance.

The Senior ML Data Engineer will develop, deploy, and maintain scalable machine learning models, collaborate on data pipelines, ensure production-readiness, and troubleshoot issues related to performance. The role requires close work with cross-functional teams to integrate models into systems.

The Senior ML Data Engineer will design, develop, and maintain data pipelines for efficient data retrieval, processing, and storage for ML/AI applications. They will collaborate with data scientists, manage database systems, and ensure data quality while staying updated with industry trends.

The Data Engineer will design, implement, and optimize data pipeline flows within the ThetaRay system. Responsibilities include maintaining data flows based on designs from data scientists, building machine learning pipelines, creating data tools for analytics, and training customer teams. The role involves collaborating with product and R&D teams and maintaining relationships with customers.

As a Data Engineer, you will design and maintain ETL processes, build data pipelines for business intelligence, manage data warehouses, ensure data governance, and communicate insights through dashboards. Collaboration with various stakeholders is key to resolving data issues and supporting data infrastructure.

As a Data Engineer, you will design and build data pipelines, develop efficient database solutions, and transform raw data into actionable insights while collaborating with machine learning engineers and data scientists. You'll also be responsible for optimizing data systems and ensuring data quality across various projects.

This entry-level position involves building and maintaining data pipelines, ensuring efficient data collection and processing. The role supports data quality initiatives, assists in developing data integration solutions, and performs basic cloud data services and DevOps tasks under supervision, focusing on learning and development.

The Senior ML Data Engineer will collaborate with product managers and data scientists to develop end-to-end machine learning solutions, maintain a serverless ML-powered GraphQL stack, support deployment of ML models, and manage large datasets effectively while ensuring operational infrastructure is supported.

As a Senior Geospatial Data Engineer, you will work on ingesting satellite imagery and geospatial data, optimizing data processes, building data pipelines, and mentoring junior engineers. You'll play a lead role in initiatives to enhance data processing capabilities while working collaboratively across teams.