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Top Data Engineer Jobs in Portugal
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Compass is seeking a Senior Data Engineer to lead key data initiatives, collaborate with various teams, develop scalable data pipelines, and optimize data systems. Responsibilities include operationalizing data pipelines, managing database techniques, ensuring data quality, and providing on-call support. Qualifications include 7+ years of experience in data pipeline engineering, expertise in Python, PySpark, SQL, and AWS, and experience with tools like Databricks and Airflow.
The Senior Data Engineer will develop scalable data pipelines, manage large datasets, enhance data quality, and collaborate with various teams to meet business needs. They will also handle on-call support and maintain data systems' integrity.
This role involves designing and developing data solutions across various domains such as Research and Investments, and Sales and Marketing. The Data Engineer will be responsible for creating scalable data architectures, managing ETL pipelines, and collaborating with different teams to improve data quality and accessibility.
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As a Lead Data Engineer at Skillz, you'll design and build robust data pipelines, optimize data processing, and ensure high quality data delivery to stakeholders. You'll leverage cloud technologies and work collaboratively with data scientists and engineers to enhance analytics capabilities.
The Senior Data Engineer will develop and manage data pipelines, analyze financial data to identify trends, enhance data quality, collaborate with cross-functional teams, and support operational efficiency through data-driven insights and reporting.
The Staff Engineer will develop and deploy complex data solutions, lead technical planning and architecture efforts, collaborate with cross-functional teams, and enhance data standards and processes, ensuring system integrity and performance.
The Sr. Software Engineer will develop and maintain data and analytics solutions for Paze, focusing on building data engineering solutions for batch and stream processing, as well as advanced analytic solutions using BI and ML tools. Responsibilities include collaborating with teams, ensuring quality and performance, and troubleshooting production issues.
Analytics Engineers at Axos Bank design and maintain infrastructure for data analysis. They collaborate with stakeholders to create data analytics solutions, build ETL jobs and data pipelines, and provide insights through data visualization tools. Responsibilities include code reviews and DevOps tasks.
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The Apps Support Engineer partners with technology teams to enhance integration functions, analyzes system logic to identify issues, and recommends solutions. They document requirements, formulate systems scope and objectives for high-impact applications, and provide expertise in apps support operations.
The Senior Data Ingestion Engineer leads the Enterprise Data Platform Ingestion team, focusing on managing ingestion processes on the Databricks platform, overseeing ETL/ELT pipelines, and ensuring data security and compliance. Responsibilities include code review, managing Agile sprints, and implementing automated monitoring strategies for ingestion processes.
The Lead Data Engineer will design and build advanced ingestion pipelines using Databricks and AWS technologies while ensuring data quality and governance. Responsibilities include developing data transformations, collaborating with data teams, and keeping up with big data trends.
The Senior Data Engineer will collaborate with cross-functional teams to design and implement data ingestion, modeling, and transformation processes. Responsibilities include building ETL pipelines, creating data marts, monitoring the data platform, and deploying machine learning models to enhance business intelligence.
As a Data Integration Software Engineer, you will develop and maintain code for data integration platforms, participate in code reviews, collaborate on user stories, and provide technical solutions to business partners. You will also lead architecture decisions for insurance data integration.
As a Staff Data Engineer on the Ads Data Science team at Reddit, you will lead analytics engineering, develop data pipelines, ensure data quality and reliability, and create tools for data self-service. You'll mentor data analysts and collaborate with various teams to build a data-driven culture and strategy, focusing on high-quality data products.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
As a Senior Data Engineer at LA Galaxy, you will engineer and maintain data solutions including ETL processes and data warehousing, improve data quality and optimize performance, collaborate with various departments, and develop automated data visualizations. Your role will involve overseeing data integration efforts and leveraging analysis to enhance business operations and fan experiences.
The Senior Data Engineer will design and develop data ingestion templates and ETL processes, create an ontology structure for aerospace manufacturing, implement data reconciliation solutions, and develop monitoring solutions. They will also collaborate on building domain-specific data applications and establish data management controls.
The Senior Data Engineer at Perchwell will oversee data engineering initiatives, including building data lakes and scaling data infrastructure. Responsibilities include creating ETL tooling, automating data governance, and collaborating with cross-functional teams for data solutions.
You will develop and implement infrastructure to support market data and trading, maintain market data feeds, and design applications to reduce latency and improve performance in a high-paced, real-time environment.
This role involves designing and implementing high-performance data processing infrastructure for large language model training, creating robust systems for data quality assurance, and collaborating with research teams on data processing architectures.
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As a Senior Data Engineer for Mission Control, you will architect and deploy applications and data systems, creating data pipelines and user interfaces. You will collaborate with stakeholders to optimize data systems, write automations, and develop documentation, all while adhering to Shift4's core values.
The Senior Data Engineer will design, develop, and maintain secure data pipelines, lead the architecture of data models, collaborate with teams to align data solutions with business goals, enhance data infrastructure, and support data visualization efforts using tools like Power BI.
As a Senior Software Engineer for the Polaris and Data Lake Catalog team, you will design and implement scalable distributed systems, work on interoperability with external Iceberg catalogs, develop high-performance solutions, and contribute to data governance features. Your role will also involve collaborating with open-source teams and enhancing services related to data lakes and catalogs.
As a Senior Software Engineer, you will design and implement scalable, distributed systems that support Iceberg transactions, integrate Snowflake with external catalogs, and develop high-performance solutions for data lake management. You will also collaborate with the open-source community and contribute to data governance features for the Polaris project.
The Principal Software Engineer will lead the Snowflake Ingestion team in developing and executing innovative solutions for data ingestion systems. Responsibilities include overseeing technical projects, mentoring engineers, influencing product direction, and ensuring product reliability.
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