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Top Data Engineer Jobs in Poland
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 Data Engineer at Capco will design, implement, and maintain scalable data pipelines for cloud and on-prem projects, work directly with clients to define solutions, and mentor junior engineers. Responsibilities include ensuring best practices in engineering, managing data architecture, and contributing to security designs.
As a Senior Data Engineer at Capco, you will design, implement, and maintain scalable data pipelines and solutions, collaborating with cross-functional teams to optimize data processing workflows. Your responsibilities include ensuring data quality, troubleshooting pipeline issues, and mentoring new team members, all while staying updated on industry best practices.
As a Middle Data Engineer, you will play a key role in enhancing the online car market by building and maintaining data pipelines, improving existing tools, and collaborating with senior engineering teams. Your expertise in data platforms and AWS services will drive significant improvements in user experience.
As a Strong Middle Data Engineer, you will design and maintain data platforms and pipelines for an online car market. Collaborate with senior engineers to simplify tools and enhance user experience while actively participating in decision-making and improvements.
As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.
As a Data Engineer at Kitopi, you will design and scale data ingestion and modeling in the data warehouse, develop ETL solutions, and collaborate with cross-functional teams to drive data quality and insights for better decision-making.
The Data Engineer will design, build, and maintain data infrastructure, ensuring reliable data collection, storage, and processing. Responsibilities include automating data workflows, managing data quality, supporting production processes, and collaborating with cross-functional teams.
As a Data Engineer at Citi, you will develop solutions to accurately manage IT hardware and software globally, optimize code, handle feature development, and contribute to technology initiatives while ensuring integration meets business goals.
As a Data Engineer, you will design, implement, and optimize batch and streaming data pipelines, support the current data infrastructure, and collaborate with teams for improvements and innovations in data accessibility and performance.
As a Data Engineer, you will build and sustain scalable ETL workflows, maintain a BigQuery data warehouse, and administer Google Cloud resources. Responsibilities include optimizing data transformations, collaborating on ML projects, and enhancing internal applications through deploying APIs and microservices.
The Data Developer will collaborate with developers and regulatory analysts to handle and manage regulatory data. Responsibilities include designing and integrating software solutions, maintaining data products, and updating databases using programming languages such as C# and SQL.
As a Data Engineer, you'll design and develop cloud-native solutions using Python, SQL, and Databricks, focusing on enhancing data cataloging and discoverability. You will collaborate with technical specialists and vendors while applying Agile and DevOps practices throughout the application lifecycle.
As a Senior DevOps Engineer, you will automate the Data Platform at Dynatrace, focusing on deployment integrations, cloud solutions, ETL processes, and CI/CD pipelines. You’ll work with AWS and Azure to enhance data reliability and efficiency while collaborating with international teams.
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 Data Engineer role involves creating data pipelines, maintaining data systems, supporting data quality and security initiatives, and collaborating with teams to ensure data accessibility and reporting needs are met.
The Data Engineer will design, develop, and maintain data pipelines, collaborate with product and data teams, optimize systems for accuracy, and ensure compliance standards while enhancing A/B testing capabilities at Allegro.
The Big Data Engineer IV will design large-scale data processing systems, work closely with product teams to own projects, and improve application efficiency and stability. They will handle billions of ad requests, intending to extract business value and enhance the advertising experience.
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 Senior BI & Data Engineer will design and maintain data pipelines, implement data models for analytics, and ensure data quality. Collaborating with analytics and user experience teams, the role focuses on enhancing data culture and supporting business decisions through insights derived from various data sources.
Develop big data solutions, design and optimize data workflows, and create efficient applications and data pipelines while ensuring performance, scalability, and security. Support project teams in quality management and document technical requirements.
The Stream Processing Data Engineer will develop big data solutions, optimize data workflows, and create applications and data pipelines for efficient data handling. They will ensure performance, scalability, and security while supporting project teams and managing tests. Excellent analytical skills, communication, and continuous learning are essential.
As a Senior Data Engineer, you will design, develop, and document data pipelines and components for managing structured and unstructured data in a cloud infrastructure. You will focus on improving performance, standardizing automation patterns, and collaborating with teams in an Agile environment to deliver high-quality software that meets customer requirements.
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 Data Engineer at Samba TV will develop and automate data pipelines for ad impressions and viewership datasets, enhance the efficiency of data handling processes, and facilitate self-service analytics while mentoring team members. The role involves close collaboration with Data Science teams and improving overall data platform tools.
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