Data analyst állások II. kerületben (it programozás, fejlesztés)

• A Sales Igazgatóságot és a Sales Research csapatot támogatod üzleti döntések előkészítésében rövid‑ és középtávú elemzésekkel, adatalapú döntés‑előkészítéssel
• Elemzed az üzleti teljesítményt, feltárod a mögöttes okokat, és konkrét javaslatokat dolgozol ki a további lépésekre

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

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,...

Elicitation of business needs through stakeholder workshops Creation of User Requirements Specifications (URS) and Functional Specifications (FS) Development and maintenance of Requirements Traceability Matrix (RTM) Impact assessment of proposed system changes on validated state Assistance in...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops Define And Enforce Data Quality Standards...

Üzleti igények összegyűjtése és elemzése IT rendszerek és szoftverek elemzése Fejlesztési igények meghatározása Funkcionális és technikai specifikációk készítése Üzleti célok és IT megoldások közötti összhang biztosítása Szoftverfejlesztési életciklusban való aktív részvétel Tesztelési...

Preparation of Business Concept and Business Strategy Review, analysis and evaluation of business systems, user requirements and processes Definition of business goals and KPIs Cooperation with developer and testing team Participation in User Acceptance Testing Support of Project management with...

Preparation of Business Concept and Business Strategy Review, analysis and evaluation of business systems, user requirements and processes Definition of business goals and KPIs Cooperation with developer and testing team Participation in User Acceptance Testing Support of Project management with...

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...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Üzleti probléma és megoldás teljes körű megértése, BRS véleményezése és jóváhagyása Informatikai megoldás magas-szintű és mély szintű funkcionális és architektúrális tervezése Részletes, rendszer szintű SRS írása Flexcube rendszerre vonatkozóan Részletes, rendszer szintű SRS-ek véleményezése és...

Implementation of new features within the Veeva Quality suite at Life Sciences companies Guidance on enhancing quality and compliance culture through Veeva Quality suite Design of customer-requested and proactive solutions Customer liaison and communication management between implementation,...

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 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, prototype, and refine LLM based features over large document sets Orchestrate multi step, agentic workflows and tool calling including MCP servers and other integrations Define evaluation frameworks, experiments, and metrics to measure model quality, relevance, and safety Use AWS services...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Setting the strategic direction for IT & Cyber Risk product area Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards Shaping...

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...

Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation Leading engineering for strategic products with design, delivery, and quality across multiple agile teams Defining technical strategy, system architecture, and integration of AI/ML-powered components...