Top Data Engineer Jobs in Portugal

The Senior Data Engineer at CLA will develop data solutions, manage data pipelines, design software systems, and implement new technologies. They will collaborate with a team to analyze and optimize existing data processes and ensure effective data utilization within the firm.

The Data Migration Engineer will work mainly on migrating data between systems while collaborating with customers to ensure outcomes are achieved. This role involves working with experienced engineers and enhancing skills through hands-on projects. The company offers a supportive environment for personal and professional growth.

The ML Data Science Engineer will focus on responsible AI, ensuring the development and deployment of foundation and predictive models align with ethical guidelines. Responsibilities include collaborating with teams to mitigate bias, building datasets, implementing models using various tools, developing metrics, and leading discussions on AI investments for fairness and safety.

As a Senior Data Engineer at Nuna, you'll build products for value-based healthcare, design data pipeline frameworks, manage production environments, and mentor junior engineers. You'll use technologies like Python, Spark, and AWS to ensure high-performance and secure data management.

The Senior Data Science Engineer will lead the end-to-end development and deployment of machine learning models, ensuring their performance through testing and optimization. Responsibilities include data extraction and cleaning, model tuning, creating prototypes, and collaborating with cross-functional teams to support data infrastructure needs.

As a Principal Engineer on the Data Platform team at Nextdoor, you will drive product development, machine learning, data science, and provide world-class data infrastructure and tools. Responsibilities include envisioning and building a scalable data platform, participating in all phases of the software development lifecycle, and developing partnerships with key stakeholders. Requires 7-10 years of experience in data infrastructure at petabyte scale, knowledge of SQL, Spark, computer science fundamentals, software engineering, data science, machine learning, cloud technologies, and strong communication skills.

As a Staff Data Engineer in the Data Stewardship team, you will develop high-quality data assets, collaborate with cross-functional teams to address data needs, and influence analytics engineering practices. Your role involves improving data quality and integrity while navigating regulatory landscapes, mentoring team members, and contributing to long-term data strategies.

The Educational Data Analyst/Engineer will design, implement, and maintain data dashboards for K-12 school districts, ensuring accurate database management using SQL and automating processes with Python. The role involves collaborating with educational stakeholders to meet their data analysis needs and provide support for data quality issues.

The Senior Data Engineer at CodaMetrix will optimize and maintain the data architecture and pipelines for an AI-powered coding solution. Responsibilities include building robust data infrastructures, ensuring data quality, collaborating across teams for integrated data solutions, and supporting data governance and security practices. This role involves advanced data processing using various technologies while fostering a culture of continuous improvement.

The Senior Data Engineer will develop cloud service offerings, assemble complex datasets, design process improvements, and build infrastructure for data extraction and transformation. Responsibilities include collaborating with various stakeholders to ensure effective data delivery and support operational metrics.

The Sr. Product Engineer for ArcGIS Hub will develop solutions for geospatial data sharing, focusing on spatial search and data analysis. Responsibilities include collaborating with teams, managing product roadmaps, writing user stories, and troubleshooting customer issues. Requires proficiency in GIS technology and web development fundamentals.

As a Lead Data Engineer at Stellic, you will design scalable architectures, build data pipelines, mentor teams, and drive alignment on engineering priorities while ensuring high-quality implementations.

As a Senior Data Engineer, you will design, build, and optimize complex data pipelines and systems, collaborating with various teams to enhance data models and support analytics solutions. You will mentor junior engineers and ensure data quality while leading initiatives to improve data infrastructure.

The Senior Data Engineer leads the development of components of Azure Data Lake, collaborating with various teams to build data solutions. Responsibilities include designing complex software applications, ensuring code quality, advising on data structures, developing integration test specifications, and troubleshooting issues, all while adhering to best practices.

The Lead Data Engineer will design and implement cloud data lakes and large-scale data architectures. Responsibilities include collaboration with AI/ML teams, establishing data governance, and mentoring junior engineers. This role requires expertise in big data technologies, tabular data formats such as Apache Iceberg and Parquet, and proficiency in cloud platforms like AWS, Azure, or GCP.

The Staff Data Platform Engineer will define the roadmap for the data platform, lead architectural design, and ensure maintenance of distributed data and middleware infrastructure. Responsibilities include collaboration with cross-functional teams, managing project backlogs, optimizing system performance, and mentoring junior engineers while ensuring compliance and risk management within the platform.

The Senior Data Platform Engineer will design and build scalable solutions, manage complex data schemas, and mentor team members. Responsibilities include implementing anti-corruption layers, defensive coding, and developing an event-driven architecture using AWS and Kafka, ensuring platform reliability and performance.