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•Development and testing of the modern engineering and web-based software •Active work in an agile scrum team ...

•Development and testing of the modern engineering software •Active work in an agile scrum team...

• Understand business needs 
• Support project delivery 
• Spot opportunities for improvement 
• Be the problem-solver 
• Drive digital adoption 
• Collaborate to create value 
• You have a university degree in: Business Informatics, Information Technology, Software Engineering or similar field.  

ABOUT THE ROLE Our data estate combines modern cloud platforms (Snowflake, Databricks, Microsoft Fabric on Azure, Power BI) with on-prem SQL Server databases we are modernizing. Each platform has an expert domain architect. What we need now is the architect who makes them work together as one...

• Meglévő rendszer továbbfejlesztése
• Új funkciók készítése
• Hibák javítása
• Régebbi részek refaktorálása
• Adatbázis kezelése
• Backend üzleti logika fejlesztése
• Webes felület fejlesztése

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.
• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.

• Design and build agentic systems that plan, call tools and automate real business workflows
• Design and build multi-agent solutions with agent-to-agent work handoff, review and human escalation

• Modeling and experimentation for fuzzy matching and AML screening quality
• Building evaluation datasets and metrics for match quality measurement
• Designing scoring and ML approaches for real-time decisioning

• Lead end-to-end delivery of major enterprise platform and technology initiatives
• Develop and own detailed program and project plans
• Direct and coordinate internal technology teams and third-party vendors
• Own program governance including status reporting and executive communications

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Own the product and delivery roadmap, translating strategic direction into a clear and actionable backlog
• Define and prioritize customer-centric enhancements that improve the experience for patients, doctors, hospitals, and our employees working in blood collection points

• Design and build well-architected TypeScript features end to end for AML services and customer facing Admin Panel
• Lead team-level design reviews and write design docs or ADRs for significant changes
• Challenge requirements that don’t add up and raise delivery risks early with proposed mitigation

• Business process discovery
• Business process documentation
• Business process analysis
• Leading interviews and workshops with client stakeholders
• Capturing As-Is commercial processes and activities
• Structuring, analyzing, and documenting processes into clear and comprehensive documentation

• Implementation of TypeScript features for AML services and customer facing Admin Panel
• Contribution to design discussions with informed questions and explanation of design decisions
• Independent scoping of work and early issue raising with requirements

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns