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Top Data Engineer Jobs in Krakow
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 Data Engineer will develop and maintain machine learning algorithms and workflows on Databricks to screen and match patients for clinical trials. This position involves collaborating with technical teams, optimizing data integrations, designing ETL processes, and generating reports to support clinical research insights.
As a Data Engineer at BBH, you will design, develop, and maintain data solutions to drive data-driven decisions. Responsibilities include optimizing data warehouses, developing ETL processes, managing PL/SQL queries, ensuring data quality, and collaborating with cross-functional teams.
As an Expert ML Data Engineer, you will collect and manage datasets for ML model training, coordinate data collection, build dashboards for data monitoring, use machine learning methods, and develop high-quality software in Python within an Agile team.
As a Data Engineer at Kitopi, you will design, build, and scale data pipelines in the data warehouse, ensuring data quality. You'll collaborate with engineers and analysts, develop ETL solutions, translate solutions into code, and identify new data sources to enhance insights for the business.
As a Senior Data Engineer, you will design and maintain scalable data pipelines and solutions for large-scale data processing. Responsibilities include interpreting client requirements, developing robust data pipelines, mentoring junior engineers, and contributing to security designs. You will also work with various data technologies and cloud solutions to implement industry-leading methodologies.
The Senior Data Engineer role involves working remotely on diverse projects across industries like fintech and healthcare. The position emphasizes professional growth, collaboration on coding challenges, and agile practices, ensuring high-quality development processes.
As a Data Engineer, you will build a robust data platform for healthcare brands, manage data pipelines, implement scalable architectures for batch and streaming workflows, and enable actionable insights through diverse data integration.
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, implement, and maintain scalable data pipelines for large-scale data processing and analytics. Your responsibilities include optimizing data workflows, ensuring data quality, and providing technical mentorship. You will collaborate with cross-functional teams to meet data requirements and document technical specifications.
As a Data Engineer II at Viator, you will implement modern data pipelines for marketing data, monitor data accuracy, work with cross-functional teams to define and document data product requirements, reconcile data issues, and contribute to designing optimized data solutions. You will also document data pipelines and ensure compliance with SLAs.
As a Data Engineer, you will enhance a robust data pipeline for a SaaS product, ensuring effective data ingestion and validation. You will collaborate with product teams to derive insights, develop self-service tools, and ensure high data quality through effective testing and documentation. Your work will involve utilizing Python and Databricks, and engaging with teams internationally to produce scalable data solutions.
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.
The Data Engineer will design, develop, and maintain BI solutions utilizing Databricks and Azure tools, focusing on Data Lake, Data Factory, and modern data warehouse solutions. Responsibilities include building ETL/ELT pipelines, creating data models, developing dashboards, and optimizing system performance.
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.
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.
The Big Data Engineer IV will design and develop large-scale data processing systems, working closely with product teams to define requirements and own projects end-to-end. Responsibilities include improving application efficiency and reliability, building complex data pipelines, and utilizing cloud technologies to enhance data processing capabilities.
The Data Engineer will design, build, and maintain scalable data pipelines and architectures to support data-driven initiatives, ensuring data quality and integration from various source systems. Responsibilities include optimizing data architectures, implementing ETL processes, managing cloud infrastructure, and collaborating with cross-functional teams.
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 Architect, you will design and optimize data infrastructure, develop scalable data pipelines, and create dashboards for business intelligence. You will collaborate with teams to improve data accessibility and implement systems for data quality monitoring.
The Senior Data Engineer will design, develop, and maintain scalable data pipelines to support data processing at Inkitt. Responsibilities include improving data pipeline performance, ensuring data quality, collaborating with stakeholders, and implementing robust data architectures for data-driven decision-making.
As a Senior Data Engineer, you will develop and maintain scalable ETL pipelines, collaborate with BI teams for optimal data solutions, integrate data into Snowflake, act as a technical expert, and ensure data integrity and governance.
The Data Operations Engineer will manage and optimize data-related processes, ensuring efficient data systems and supporting data-driven decision-making across the organization. Responsibilities include overseeing daily operations, implementing data management policies, monitoring data center infrastructure, and providing technical support for data issues.
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.
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