Data állás, munka

Design predictive models Conduct large-scale experiments Uncover insights that inform decision-making Define and develop ontologies and knowledge graphs to connect and contextualize enterprise data Establish data standards and maintain data quality Operationalize models and graph services at scale...

Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems Delivering and scaling AI solutions by embedding into cross-functional teams Deploying assets on client...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Building a world-class AI platform designed to be deployed across diverse sectors and functions Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to develop impactful AI solutions Combining software and data engineering...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Develop, optimize, and maintain backend services using Java (Spring Boot) Work on football-related data pipelines that power FIFA, Serie-A and UEFA operations Deploy and scale applications in AWS (ECS, Lambda, S3, DynamoDB, etc.) Work on event-driven architectures, leveraging message queues...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

Design, develop, and implement BMC Helix/Remedy applications and solutions tailored to client specifications and business requirements. Integrate BMC Helix/Remedy with other enterprise systems and third-party applications to ensure seamless operations and data flow. Customize BMC Helix/Remedy...

Build and refine backend services and data pipelines Develop reliable Python workflows/services and relational database solutions for high-quality data delivery Lead technical design for complex roadmap work-data collection, analytics and distribution Improve reliability and scalability of...

Shape engineering strategy with broad organizational impact Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns Lead architectural discussions and design reviews...

Design, prototype, and refine LLM-based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...

Define and evolve the long-term vision, strategy, and success metrics for shared services and integration capabilities within the Risk & Audit platform. Align platform investments with company strategy, architectural direction, and product portfolio needs. Own a roadmap focused on reusable...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...