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Top Data Engineer Jobs in Budapest
The Data Engineer will architect and lead the transition from on-premises batch architecture to a cloud-based streaming data platform, focusing on data warehousing, ETL pipelines, and data governance. The role involves collaboration with cross-functional teams and fostering a culture of technical excellence.
The Senior Backend Engineer will develop and enhance real-time transaction monitoring systems for financial crime prevention, collaborating with teams of software engineers, data scientists, and analysts. Responsibilities include building tooling for data exploration, providing training tools for model retraining, and ensuring best practices in coding and system optimization.
The Data Engineer will design and manage data pipelines for production machine learning models, ensuring scalability and performance. Responsibilities include collaborating with teams, implementing data quality measures, maintaining cloud infrastructure, and troubleshooting pipeline issues.
The Data Engineer role involves designing, coding, reviewing, and testing features in an agile environment, requiring strong analytical and programming skills. The individual will work with a variety of tools to build a comprehensive Data Platform, ensuring effective communication and collaboration across teams and maintaining quality documentation.
As a Data Engineer at Hiflylabs, you will work on data projects that involve building data pipelines and migrating ETL processes to the Azure and Databricks platforms. Your role includes designing and developing solutions for data extraction and transformation, and collaborating with both technical and business teams.
As a Snowflake Data Engineer, you will design and implement data pipelines using Snowflake, develop ingestion pipelines, automate data processes, and collaborate with both technical and business colleagues. Your role includes optimizing existing ETL processes and helping business users leverage the data platform.
The Data Engineer at Sanofi will develop and manage data pipelines necessary for advanced analytics, AI, and ML initiatives, collaborating with business teams to translate technical needs and ensuring best practices in data manipulation.
The Senior Crypto Data Engineer will facilitate operations for Data Scientists, construct frameworks using various programming languages, design data pipelines, optimize existing structures, and ensure the accessibility and integrity of data. The role involves collaboration with team members to meet project requirements and staying updated with industry advancements.
As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.
As a Middle Data Engineer, you will enhance online car markets by developing and maintaining data pipelines, working with AWS services and SQL, and collaborating with a senior engineering team to improve tools and drive initiatives.
As a Strong Middle Data Engineer, you will enhance online car markets and improve user experience. Responsibilities include simplifying existing tools, managing technical debt, proposing improvements, and collaborating closely with Senior Engineers and management.
The CMC Data Engineer will create and manage data flows for experimental data, ensure data is ready for consumption by various applications, automate test execution, onboard scientists with data preparation systems, and troubleshoot source data issues. Responsibilities also include documentation and providing expert support to data scientists.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data Engineer, you will design, implement, and automate data pipelines to process and analyze large datasets. You will work closely with development teams to enable better decision-making through data insights and visualizations. Your role will include data transformation, feature engineering for AI applications, and integration with various data platforms.
Responsible for delivering high-quality outcomes by applying the right solutions and collaborating with stakeholders. Operate in an agile organizational setup. Onboard data, implement analytics and processing algorithms, and operationalize models in AWS. Support projects independently and build relationships across departments. Participate in exploratory projects to evaluate new technologies.
The Data Engineer is tasked with maintaining and improving data flows within the analytics platform. Responsibilities include designing scalable ELT packages, managing data pipelines, ensuring high data quality, and developing data models to support analytical products. The role also involves collaborating on data architecture and best practices in data engineering.
The Data Engineer will develop and optimize data pipelines to support machine learning research. Responsibilities include designing scalable data architectures, collaborating with ML researchers, transforming data for experiments, and managing data integration processes using Python and SQL, along with NoSQL databases.
As a Senior Data Engineer at Cloudera, you will design and implement data pipelines that ingest, curate, and provision data to support business operations and analytics initiatives. You will collaborate with architects, develop data transformations, create real-time data flows, and monitor data quality. The role requires expertise in Big Data and Cloud technologies with a strong focus on delivering reliable data services.
Seeking an accomplished Data Platform Engineer with 5-7 years of experience to lead implementation of a data platform for advanced analytics and AI initiatives in the healthcare industry. Responsibilities include designing and implementing data engineering solutions, driving data platform development, collaborating with business teams, and optimizing data pipelines.
As a Data Platform Engineering Specialist, you will lead the design and implementation of scalable data pipelines and architectures. Collaborate with global teams to drive advanced analytics and support the data engineering team with mentorship. Optimize data solutions using ETL/ELT processes, cloud technologies, and distributed processing, ensuring seamless data delivery for healthcare initiatives.
As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.
The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.
The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
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