Analytics data analytics állások, munkák programozó, fejlesztő kategóriában

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies Build and support real-time data interfaces and backend services Translate business requirements into scalable technical solutions and system architectures Develop microservices-based applications...

Support Data Workflows Inside Palantir Foundry Support Operational Applications And AI-Supported Processes Work With Data Flows And Integrations Inside Palantir Foundry Support Workshop Applications And Operational Tooling Collaborate With Business And Technical Teams Help With Advanced Analytics...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Design, develop, and maintain scalable web applications and backend services to support trading operations Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions Implement and optimize high-performance APIs,...

Design, develop, and maintain scalable web applications and backend services to support trading operations Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions Implement and optimize high-performance APIs,...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

• Design and implement end-to-end automated workflows using platforms like Power Automate, N8N or python to streamline document-heavy business processes.
• Manage dynamic content and variables to ensure data flows correctly between disparate systems like SharePoint, Excel, and APIs

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data