Look4IT

• Develop and maintain a native iOS banking application using Swift and SwiftUI. • Work with RESTful APIs, networking, and JSON data formats via a modular networking layer. • Build features within a highly modularized multi-module architecture (e.g. Tuist, Swift Package Manager). • Apply architectural patterns including MVVM, RIB, and Clean Architecture. • Implement reactive and asynchronous programming using Combine and Swift Concurrency (async/await). • Develop secure solutions including authentication, biometrics, device integrity, fraud detection, and cryptographic signing. • Write and maintain unit tests (SwiftTest) and use mocks/test-support frameworks. • Ensure high standards of performance, security, and user experience. • Maintain high code quality and contribute to knowledge sharing within the team. • Collaborate using Git and contribute to CI/CD pipelines (Fastlane).

• Develop and maintain Android applications using Kotlin and Java • Work with RESTful APIs, networking, and XML/JSON data formats • Build modern UI components using Jetpack Compose • Implement reactive and asynchronous patterns using Coroutines, Flow, ViewModel, and LiveData • Apply architectural patterns including MVVM, MVI, and Clean Architecture • Integrate APIs using Retrofit and OkHttp • Implement dependency injection using Hilt or Dagger and apply modularization principles • Write and maintain unit tests (JUnit, MockK) and UI tests • Ensure solutions meet high standards of performance, security, and user experience • Maintain high code quality and contribute to knowledge sharing within the team • Manage source code and collaborate using Git

• Designing secure Azure cloud architectures for AI applications, data-driven platforms, and internal digital products; • Defining architecture patterns for AI solutions consuming data from platforms such as Databricks; • Establishing secure patterns for AI agents, sandboxed code execution, and runtime isolation; • Designing secure network architectures including segmentation, private endpoints, and controlled access; • Implementing standards for identity management, secrets handling, encryption, logging, and monitoring; • Using Terraform to define and maintain reusable infrastructure-as-code patterns; • Supporting migration from Azure DevOps to GitHub Enterprise; • Designing and implementing modern CI/CD pipelines using GitHub Actions; • Establishing repository governance, code review processes, and deployment controls; • Defining secure software delivery standards with full traceability and audit readiness; • Collaborating with engineering teams and mentoring developers in best practices across cloud, security, and DevOps.

• Designing end-to-end AWS architectures for AI and GenAI implementations across multiple client projects • Leading architecture discovery workshops and Well-Architected Framework reviews with client teams • Selecting and configuring the right AWS AI/ML services for each use case — Bedrock, SageMaker, Comprehend, Textract, and beyond • Defining IaC standards and reviewing infrastructure implementations by engineering teams • Advising on data architecture — ingestion, storage, transformation, and access patterns optimised for AI workloads • Working with client security and compliance teams to ensure architectures meet regulatory and enterprise requirements • Contributing to pre-sales and solutioning — proposals, effort estimates, and client technical presentations where needed • Mentoring cloud engineers on the delivery team and conducting architecture and code reviews • Staying current with the AWS AI/ML service roadmap and advising clients on relevant emerging capabilities

• Lead end-to-end requirement gathering workshops with business stakeholders to translate complex supply chain processes into scalable SAP solutions. • Own the functional configuration and customization of SAP Extended Warehouse Management (EWM), including Inbound, Outbound, Internal processes, Wave Management, Physical Inventory, and Slotting. • Seamlessly bridge warehouse processes with outbound shipping, managing complex transport, delivery splits, packaging specifications, and Handling Unit Management (HUM) from Procurement to Delivery. • Design functional specifications for complex system boundaries, coordinating integrations with Manufacturing (PP), Quality Management (QM), and automation layers (WCS/PLC via MFS). • Author and execute rigorous test scripts (IQ/OQ/PQ) and support User Acceptance Testing (UAT) ensuring compliance with pharma tracking mandates (serialization and batch management). • Supervise junior team members, review functional deliverables, and lead key-user training tracks within a globally distributed delivery model.

• Realizował projekty wdrożeniowe dla Klientów w obszarze Płac i Administracji Kadrowej • Rozwijał wiedzę w zakresie integracji SAP SuccessFactors z innymi systemami • Rozwijał kompetencje w zakresie SAP SuccessFactors oraz metodyk projektowych • Zarządzał projektami i relacjami z klientami

• Lead a team of data experts (source and target) through the end-to-end data migration process in the Material Master / Master Data Management domain. • Plan, align, and track deliverables to ensure timely and high-quality execution. • Provide regular updates on status, risks, and issues to the Data Migration Project Lead. • Collaborate with cross-functional teams to manage dependencies and ensure alignment. • Define and align the data migration scope within the Material Master / Master Data Management domain. • Enable the team with a clear understanding of migration concepts, approach, and constraints. • Facilitate solution design for identified gaps in close collaboration with business and IT experts. • Drive documentation, data validation, and defect resolution activities. • Coordinate data migration inputs for cutover planning and execution. • Ensure readiness of system configurations in alignment with the template team. • Develop and maintain domain-specific migration assets to support scalable rollouts. • Continuously enhance domain knowledge through close collaboration with the expert community.

This is a remote position. For a Scandinavian SAP consulting company, we are looking for an experienced SAP SD/Logistics Senior Consultant / Stream Lead for long-term cooperation on a major S/4HANA migration project for a global manufacturing customer located in Germany. The company delivers high-quality SAP solutions across S/4HANA transformation, SAP Core, data migration, process design, and advisory, combining Nordic engineering standards with stable teams, ownership, and a strong focus on business outcomes. The selected consultant will act as a subject matter expert for the Lead-to-Cash / SD and Logistics area and lead a team of consultants within this stream, supporting end-to-end data migration activities and cooperating closely with business, IT, template, and data migration project stakeholders. The project is currently expected to start with a ramp-up phase in July, with full-scale project work planned from September. The assignment is expected to last 12+ months. The project is a multi-front, multi-domain SAP S/4HANA migration, with parallel focus areas across Design to Operate, Procure-to-Pay, Lead-to-Cash, Record-to-Report, and Material Master / Master Data Management. The customer is considering one consultant to lead each focus area.

• Lead a team of data experts (source and target) through the end-to-end data migration process in the Record-to-Report domain. • Plan, align, and track deliverables to ensure timely and high-quality execution. • Provide regular updates on status, risks, and issues to the Data Migration Project Lead. • Collaborate with cross-functional teams to manage dependencies and ensure alignment. • Define and align the data migration scope within the Record-to-Report domain. • Enable the team with a clear understanding of migration concepts, approach, and constraints. • Facilitate solution design for identified gaps in close collaboration with business and IT experts. • Drive documentation, data validation, and defect resolution activities. • Coordinate data migration inputs for cutover planning and execution. • Ensure readiness of system configurations in alignment with the template team. • Develop and maintain domain-specific migration assets to support scalable rollouts. • Continuously enhance domain knowledge through close collaboration with the expert community.

• Lead a team of data experts (source and target) through the end-to-end data migration process in the Design to Operate domain • Plan, align, and track deliverables to ensure timely and high-quality execution • Provide regular updates on status, risks, and issues to the Data Migration Project Lead • Collaborate with cross-functional teams to manage dependencies and ensure alignment • Define and align the data migration scope within the Design to Operate domain • Enable the team with a clear understanding of migration concepts, approach, and constraints • Facilitate solution design for identified gaps in close collaboration with business and IT experts • Drive documentation, data validation, and defect resolution activities • Coordinate data migration inputs for cutover planning and execution • Ensure readiness of system configurations in alignment with the template team • Develop and maintain domain-specific migration assets to support scalable rollouts • Continuously enhance domain knowledge through close collaboration with the expert community