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Top Data Engineer Jobs in Poland
As a Data Engineer on the FRRA Innovation Strategy Team, you will automate data processes for regulatory reporting, utilize big data and cloud solutions, develop reporting logic with SQL, and manage the entire SDLC lifecycle. Collaboration with business and technology teams to enhance compliance and efficiency in data management is essential.
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.
The Data Engineer will expand applications to implement new tariffs for the prepaid area, prepare business requirements, design solutions, conduct tests, manage deployment in various environments, and create documentation.
As a Senior DevOps Engineer at Dynatrace, you will automate data processes within the Data Engineering team. Key responsibilities include creating deployment integrations for AWS and Azure, designing ETL data pipelines, and collaborating with cross-functional teams to enhance data processes. The role requires strong experience in cloud solutions, deployment automation, and CI/CD practices with tools like Jenkins and Terraform.
The Senior BI & Data Engineer will design and maintain data pipelines using GCP services, automate data workflows, ensure data quality, and collaborate with cross-functional teams to meet business needs, focusing on enhancing data culture and supporting analytics.
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.
As a Cloud Data Engineer, the role involves managing and improving data pipelines, databases, and data warehouses. Responsibilities include creating real-time monitoring, enhancing performance and scalability, analyzing data issues, participating in performance testing, and responding to production incidents.
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As a Data Engineer, you will design and develop a cloud-based analytical platform, focusing on data extraction, transformation, and visualization. You will work collaboratively within a team to enhance IT Data management and activation using cloud technologies, specifically Microsoft Azure, and tools like Databricks and Power BI.
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, you will design, develop, and document data pipelines for various data types within a cloud infrastructure, focusing on performance and event-driven architecture. You will collaborate with cross-border teams and contribute to technology choices and architecture while implementing robust testing frameworks to ensure high-quality software delivery.
As a Senior Data Engineer at Netguru, you will work remotely on diverse projects across various industries, utilizing dev-friendly processes like Continuous Integration and Agile methodology. The role includes participating in coding challenges and pair programming sessions, contributing to a team of experts while continuously developing your skills.
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, you'll design scalable data pipelines, integrate data from various sources, ensure data quality and governance, optimize performance, and collaborate with teams across the organization to support decision-making through actionable insights.
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, you will build systems that transform IT data into usable models. Responsibilities include designing data pipelines, writing code for data ingestion and transformation, automating incident detection, and improving data engineering practices.
The role involves application management, maintenance, and support, with a strong focus on data integration techniques, Oracle SQL, and Linux scripting. The engineer will work in an agile environment, collaborating with a large international team to enhance IT risk management and overall system functionality.
The Data Engineer will design and implement data warehouse solutions, manage data ingestion and transformation, and create BI dashboards. They will work with international teams, optimize SQL queries, and support Continuous Integration and Delivery practices within financial markets technology.
As a Data Engineer at Auctane, you will design, build, and maintain data pipelines using AWS technologies, collaborate with stakeholders to implement data strategies, and drive architectural decisions for data products.
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.
The Data Engineer will design and manage databases, data processing pipelines, and data streaming solutions. Responsibilities include performance tuning, database modifications, and collaborating with developers to enhance applications. The role demands gathering user requirements, producing technical manuals, and offering data management support.
The Senior/Architect Data Engineer will recruit new team members, analyze business and technical needs to finalize project requirements, develop client proposals, and enhance both technical and business processes.
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 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 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.
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