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Designs and optimizes large-scale data pipelines using PySpark/Python for enterprise data processing, ensuring scalability and data quality while collaborating with data teams in a hybrid Kraków office.
Architect and maintain real-time and batch data pipelines using Azure Data Factory, Python/PySpark, and Databricks; design data warehouses, data models, and data lakes with security and governance.
The Data Solutions Engineer will design and manage data solutions within Databricks and Microsoft Fabric environments on Azure. The role involves developing data workflows using Python and PySpark while ensuring code quality through rigorous testing.
Senior Data Engineer designing and optimizing Spark-based data pipelines with Python and PySpark, using Databricks and Delta Tables to build scalable analytics platforms for enterprise clients.
This Data Engineer role involves designing and implementing data pipelines and PySpark notebooks within the Microsoft Fabric environment for an insurance client. The position focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
The Senior Data Engineer will design and implement data pipelines using Azure Data Factory and PySpark within Microsoft Fabric for the insurance industry. The role involves onboarding data sources, ensuring data quality through validation and standardization, and collaborating with risk teams on transformation rules.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. This role requires 6-10 years of experience and involves working in a hybrid environment in Kraków.
The Data Engineer will join the Core Data Platform team to design and maintain scalable data pipelines and integration mechanisms using Python, SQL, and Apache Spark. This role focuses on building shared platform components and ensuring high data quality and reliability within a global fintech environment.
The Data Engineering Team Lead will guide a team of engineers in the life sciences and healthcare sectors, focusing on building scalable data pipelines and defining architecture standards. The role requires hands-on technical expertise in Databricks, PySpark, and cloud platforms alongside strong leadership and mentoring capabilities.
The Senior Data Engineer will develop and maintain data pipelines and models bridging SAP BW and Palantir Foundry to support industrial digitalization. The role involves working within an Agile team to build high-performance data products using Python, PySpark, and SQL.
Senior Data Engineer bridging SAP BI (BW/HANA) and Palantir Foundry to build high-performance data pipelines, models, and applications for Airbus Helicopters' digital campus, ensuring seamless data flow and operational decision-making.
Maintains and evolves Big Data systems using PySpark/Python in cloud environments, develops ETL processes, manages incidents in ServiceNow, and supports production deployments.
Senior Data Engineer designing and maintaining scalable data pipelines and Azure-based storage/processing solutions for an international project, collaborating with Data Science and Analytics teams.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar…
Build and deploy AI/ML pipelines using Python, PySpark, and TensorFlow to power generative AI initiatives and data governance at a global scale.
Data Engineer building and optimizing Big Data pipelines and ETL/ELT processes using PySpark, AWS, Kafka, Spark Streaming, SQL, and table formats like Iceberg/Delta Lake.
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services. The role requires proficiency in SQL and Airflow to support data analytics tasks in a professional environment.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. Descubra si esta oportunidad es adecuada para usted leyendo toda la información que sigue a…
Build and maintain Python-based backend services using Django and FastAPI, integrate LLMs and GenAI, and deploy on cloud and Kubernetes for scalable data platforms.
The Junior Data Engineer will develop and maintain modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure Data Factory. The role involves integrating data from multiple sources, optimizing data transformations, and supporting SQL Server-based data warehouse environments.
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