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Top Data Engineer Jobs in Krakow
The Data Engineer will architect and lead the transition to a cloud-based data platform, managing data pipelines, data governance, and collaboration across teams. This role requires a strong background in data modeling, project management, and hands-on experience with various tools and technologies.
As a Data Engineer, you will be responsible for optimizing data warehouse environments, designing and developing ETL processes, troubleshooting issues, and collaborating with cross-functional teams to meet data requirements. You will ensure data quality, maintain comprehensive documentation, and contribute technical expertise to application requirements. Your role includes a focus on the Private Banking sector.
As an Expert ML Data Engineer at Aptiv, you will manage and curate datasets for machine learning models, coordinate data collection, build dashboards, and develop software using Python and C++. You will work in an Agile team focusing on enhancing vehicle safety and comfort through innovative technology.
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 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 Data Engineer, you will build and optimize data infrastructure to support healthcare brands. Responsibilities include designing scalable data solutions using technologies like Python, Apache Spark, and Databricks, while implementing data governance and analytics frameworks.
The Data Science Engineer will be responsible for developing and maintaining data processing pipelines for unstructured content, implementing machine learning models, overseeing MLOps functions, and collaborating with other teams to enhance product features and documentation.
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 Data Engineer II, you will implement and monitor data pipelines, collaborate with stakeholders to define requirements, troubleshoot data issues, and design scalable data solutions to enhance reporting and analytics for a variety of data sources.
As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, build reliable data pipelines, enhance data quality and compliance, mentor junior team members, and collaborate with cross-functional teams to improve operational efficiency and support complex data challenges.
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.
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.
As a Data Engineer, you will manage data warehouse and pipeline processes, migrating data to GCP, and developing ETL/ELT pipelines. You'll also enhance data cleaning tools and ensure data integrity while collaborating with a dynamic team to meet project milestones.
As a Cloud Data Engineer at DuPont, you will define data architecture standards, develop ETL processes, implement Azure data services, and ensure data governance. You will collaborate with teams to deliver data solutions, provide technical guidance, and enhance existing data services while adhering to security compliance standards.
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.
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, you will design, build, and maintain scalable data pipelines and architectures. You will integrate data from various sources into data lakes/warehouses, ensure data quality, and work with cloud platforms for data processing. Collaboration with data scientists and stakeholders is crucial, alongside implementation of data governance and performance monitoring best practices.
As a Data Engineer, you will design, build, and maintain the data infrastructure needed for collecting, storing, and analyzing large datasets. Collaborating with development and data teams, you'll ensure data accuracy and reliability to support business decisions and product innovation.
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.
The Data Engineer will develop and maintain data pipelines and workflows to support machine learning research, design scalable data architectures, collaborate with researchers for data requirements, manage data using NoSQL and relational databases, and ensure data integrity through validation and monitoring systems.
The Senior Data Engineer will analyze systems for migration to cloud, define cloud data strategies, deliver end-to-end data solutions, enhance data landscapes, adopt AI/ML solutions, and contribute to technical advisory for cloud infrastructure and automated pipelines.
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 Senior Software Engineer will design and implement a scalable global reporting solution using Scala, Spark, and Hadoop technologies. Responsibilities include collaborating with various stakeholders in an Agile team environment.
As a Senior Data Engineer on the Zendesk Analytics Prototyping team, you will design and implement scalable data solutions, develop and maintain ELT pipelines, optimize SQL-based data models, and enhance data system performance through collaboration with various teams.
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