Top Data Engineer Jobs in Barcelona

As a Data Engineer, you'll design and deliver complex data flows, collaborate with peers on scalable data solutions, ensure high-quality code, troubleshoot technical issues, mentor juniors, and propose workflow improvements. Your work will significantly impact various industries through innovative data solutions.

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 Antifraud Data Engineer at Manychat will design and implement data-driven solutions for fraud detection and prevention. Responsibilities include executing fraud prevention initiatives, developing machine learning solutions, ensuring data integrity, and empowering teams with insights through analytics. Collaboration with cross-functional teams is crucial to create effective antifraud systems.

The Data Engineer will create and operate data pipelines for advanced analytics and AI initiatives, collaborate with business teams to translate requirements, optimize data models, and ensure best practices in data manipulation.

The Data Engineer will develop and operate data-driven features, design and implement data pipelines and infrastructures, and support product teams with data-related use cases. Responsibilities include collaboration with interdisciplinary teams and ensuring optimal data management and architecture.

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 Data Engineer, you will design, develop, and implement data solutions using Microsoft technologies, create data pipelines with Python and SQL, and implement DevOps practices in a collaborative environment. You will also work with data modeling concepts and visualize data using Power BI.

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 Data Analytics Engineer II will lead cross-team data projects, ensuring reliable and efficient data pipelines. Responsibilities include collaborating with stakeholders on data products, delivering tested ETL/ELT pipelines and DBT models, and maintaining self-service tools for data insights. The role requires expertise in data engineering and strong communication skills to work with both technical and non-technical teams.

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.

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.

As a Lead Data Engineer, you'll manage a remote team, architect data solutions, lead data initiatives, develop real-time processing pipelines, design ETL frameworks and data lakehouses, collaborate with various stakeholders, and mentor junior engineers.

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 Platform Engineer, you will design and develop data pipelines for Veeva Link, enhance the data platform with new features, and manage the AWS infrastructure. Collaborate with various teams to improve research and patient outcomes while ensuring end-to-end ownership and quality.

The Testing Automation Engineer will lead the automation of dashboard tests for data quality, assess and implement testing frameworks, and integrate these solutions into CI/CD processes. Responsibilities include collaborating with stakeholders, improving existing systems, and mentoring colleagues.