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• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• You develop, maintain and customise our SAP integration for S/4HANA and ECC customers
• You run and manage customer implementation projects, from requirements workshops to go-live

• You plan and coordinate vulnerability tools, scans, and offensive security testing, classify findings, lead weekly triage meetings, enforce SLAs, and escalate breaches
• Using your technical judgment, you assess the severity, exploitability, and exposure of findings to help teams prioritize remediation

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

Trusted Advisor: You guide our clients towards successful solutions to their data challenges. You'll lead design sessions, architecture reviews, proof-of-concept projects and evaluation of new data technologies and vendors....

• Közbeszerzési eljárások dokumentációjának önálló feldolgozása
• Ajánlattételi követelmények azonosítása és strukturálása
• Közbeszerzési ajánlatok előkészítése
• Közbeszerzési ajánlatok összeállítása
• Teljes ajánlatkészítési folyamat koordinálása

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

• Further develop and maintain a group-wide AI Risk & Security Management System
• Evaluate specific AI implementations, balancing risk & benefit
• Act as trusted advisor to senior management on security measures for AI

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

• You help clients achieve their data & AI ambitions on a variety of projects, including:
• Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps.

• Participation in SAP DRC implementations, rollouts and other projects to deliver country specific solutions in the VAT, tax and reporting areas
• Provision of professional SAP advisory on the VAT, tax and reporting areas for Clients

• Architecture leadership for business systems transformation
• Definition of strategic architecture direction across telecom BSS, service operations and customer fulfilment platforms
• Shaping target-state architectures with senior technology and business leaders
• Guidance of critical investment decisions

• Ownership of defined project workstreams
• Planning activities and coordinating team efforts
• Ensuring high-quality delivery
• Supporting engagement planning
• Defining scope and managing timelines
• Coordinating across multiple workstreams
• Working closely with clients to understand business challenges

• Design landing zones, network topology and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.