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• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Design intelligent contact center platforms based on Amazon Bedrock AgentCore and Amazon Connect
• Design agent-based architectures including tool integration, persistent memory, multi-agent orchestration, and guardrails

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Ownership of ambiguous tasks and driving small-to-medium initiatives at project or squad level
• Hands-on technical analysis on system access, interface failures, and workflow bugs
• Prioritization and alignment of technical components with broader product goals

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Design, planning, build, and in-life support of IP-based data networks and services
• Design, planning, and build of Data Centre customer connectivity for Managed Services and Telehousing
• Capacity planning of Data Centre and DCN infrastructure

• Design, configure, and implement Identity Governance & Administration solutions
• Build and customize identity workflows, connectors, and integrations between IAM platforms and enterprise applications, directories, and HR systems of record

• Participation in end-to-end SAP S/4HANA implementation projects
• Fit-to-Standard analysis
• Configuration
• Migration
• Testing
• Go-live support
• Evaluation and optimization of business processes
• Translation of business processes into effective SAP S/4 HANA solutions

• Leadership in design, development, and continuous improvement of CaaS and PaaS platforms built on the Kubernetes ecosystem with backend development in Golang
• Architecture and implementation of new platform features ensuring scalability, reliability, and security

• Driving leadership alignment and sponsor commitment
• Stakeholder engagement and targeted change interventions
• Developing holistic change strategies integrated into project plans

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Supporting the development, implementation, maintenance, and support of HR systems
• Implementing HR technology policies, processes, and solutions aligning with business goals
• Managing Oracle HCM system-related requests and performing regular system upgrades

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

Implementation of IS-U solutions including analysis of business requirements and configuration of SAP IS-U modules to support core utility processes such as billing, invoicing, device management, and customer service...

• Design and implement SAP IS-U developments using ABAP and ABAP OO supporting core IS-U processes such as billing, invoicing, device management, and customer service
• Assist in SAP IS-U implementation projects and provide development support in productive environments (AMS and long-term support)

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• 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

• Development of deep understanding of VISTA and VMACS order-to-delivery systems to support European Ford Dealer Council projects
• Understanding current business processes and designing the desired future-state process
• Definition of requirements to deliver the future state and building the project plan

• Technical onboarding of TelCo and OSS applications onto Kubernetes-based platforms
• Contribution to Site Reliability Engineering through automation of operational tasks and creation of enhancements