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Top Data Engineer Jobs in Krakow
The Data Developer at Sphera focuses on regulatory data and the business layer of large applications. Responsibilities include designing, developing, troubleshooting, and enhancing data product solutions while maintaining data updates through various programming methods.
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.
The Senior Data Engineer will work with clients to analyze and migrate data systems to the cloud, define cloud data strategies, and deliver complete data solutions. Responsibilities include enhancing data quality and lineage, adopting AI/ML solutions, and implementing cloud-ready architectures while ensuring security and operational effectiveness.
The role involves programming in Scala, Python, or Java, with a strong focus on distributed systems and data processing using frameworks like Spark or Apache Beam. Candidates should be proficient in GCP or other cloud environments, and familiar with best practices in coding and system operations.
The Contractor Big Data Engineer will develop and maintain scalable data processing systems using technologies like Scala, Python, and Spark. They will work with cloud environments such as GCP or Azure, implement code reviews, and uphold best practices in software development. This role promotes collaboration within agile methodologies and encourages continuous learning and personal development.
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.
As a Data Platform Engineer at P&G, you will design and develop cloud native Big Data solutions as part of a digital experiences team. You will work collaboratively with engineers, product managers, and designers, developing automation tools and managing code quality. The role requires problem-solving skills, proficiency in programming, and a passion for continuous learning, with a commitment to delivering scalable and testable solutions.
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.
As a Senior Backend Engineer at ClickUp, you'll develop and maintain the Workspace Migration Service, design scalable systems, and collaborate with engineers to deliver backend features. You will contribute to our data platform layer and tackle unique challenges in a fast-paced environment, all while ensuring an exceptional customer experience.
The Principal Data Science Engineer at Sabre will leverage statistical and machine learning techniques to tackle complex challenges in the airline industry, developing data models, algorithms, and ensuring data accuracy and model performance while collaborating with developers and subject matter experts. They will work on optimizing customer behavior insights and operational performance through data analysis.
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.
Create data pipelines, maintain high-performance data systems, collaborate with other teams, support data quality and security initiatives.
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.
As a Senior Data Engineer, you will design and implement scalable data solutions, maintaining ELT pipelines and optimizing SQL-based data models using dbt. You'll collaborate closely with engineering and analytics teams to improve data delivery and system efficiency while enhancing Zendesk's operations.
The Data Engineer II will enhance and optimize data pipelines and architecture, support data analysts, and ensure the integrity of data delivery systems across projects. Responsibilities include building data infrastructure, creating analytics tools, and collaborating with stakeholders on data needs.
The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.
The Senior Big Data Developer will be responsible for establishing a secure data platform using Cloudera, developing ETL logic, and handling both batch and real-time streaming data flows. This role requires strong hands-on experience in programming languages and frameworks relevant to Big Data projects.
The Data Quality Engineer will develop and implement automated and manual testing for data pipelines, reports, and data products. Responsibilities include establishing Data Quality frameworks, designing test strategies, collaborating with teams for integration, and ensuring compliance with data privacy regulations.
The Senior Data Engineer will enhance data/ML workflows, collaborate with teams to build datasets, influence data storage strategies, and implement efficient data processing systems. Responsibilities include reducing deployment times for dashboards and ML models while managing large datasets and adhering to best practices for data management and pipelines.
As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.
The Senior Data Support Engineer role involves developing data engineering solutions, including data manipulation, modeling, and transformation using various tools and technologies. Responsibilities include supporting QA processes and user acceptance testing, as well as collaborating with teams to deliver complex data projects.
The Senior Data Scientist Engineer will develop and implement machine learning models, perform data analysis to derive insights, collaborate with data engineers, and document processes. They will stay updated with AI/ML advancements and optimize data pipelines, while presenting findings to stakeholders.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
As a Senior Data Engineer, you will design and implement systems for a private investment firm, integrating data from various sources to support decision-making processes. Responsibilities include data modeling, building data pipelines, and utilizing machine learning to derive insights.
As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.
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