Data specialist állások XVIII. 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

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...

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...

Dashboard development for sustainability data visualization Data integration from internal databases, external APIs, and third-party platforms Client reporting collaboration with sustainability team Data analysis to identify trends, patterns, and insights Quality assurance of data in dashboards and...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...

Leading a small, senior engineering team building production LLM systems Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions...

Folyamatos kapcsolattartás az üzleti terület IT képviselőivel Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása és dokumentálása Komplex szakértői közreműködés dokumentációk és folyamatábrák készítésében BA agilis események biztosítása és részvétel a fejlesztők által tartandó agilis...

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,...

Strategic backlog and scope ownership Roadmap, vision and data strategy Stakeholder management and ambiguity navigation Quality and built-in engineering excellence collaboration Operational readiness and 3rd line support oversight...

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...

Collaboration with senior product managers to ensure achievement of product objectives Support of key projects within the product management team Collaboration with research, engineering and program management teams Support of new product development and product enhancements by creating product...

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...

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...

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 solutions requested and anticipated for customers Management of communication between implementation and maintenance...

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...

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,...