Technologies állások X. kerületben (adatbázisszakértő)

• Collaborate to the building, improvement and optimisation of the Customer Analytics process and related systems.
• Contribute to the development of the Customer Analytics Roadmap and translate it into actionable plans.

• Design and build Agentic AI systems (planner/executor patterns, tool calling, memory strategies)
• Adapt and deploy LLMs, including fine-tuning and optimizing performance
• Implement and improve RAG (retrieval-augmented generation) pipelines

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

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...

Architecture design of large-scale market data initiatives Software engineering of secure, high performance, scalable and maintainable applications Integration and deployment of market data initiatives Coordination and collaboration with internal OneMSCI stakeholders Conversion of business...

Building, maintaining, and optimizing the global BI and Analytics platform Designing, implementing, and supporting data artifacts in the database and data lake Developing, testing, and maintaining data extract, load, and transformation (ELT/ETL) pipelines and data flows Creating and enhancing data...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Managing complex database systems within a global technology ecosystem Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems...

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,...

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...