Jobs at Metyis

Manage and optimize multi-channel paid marketing campaigns (search, social, programmatic, display). Set up planning and buying, optimize Google Ads and Microsoft Advertising, build marketing automation and analytics, define paid social targets, mentor team members, manage budgets, and act as SME on impact projects to drive scalable, data-driven growth.

Drive and optimize multi-channel paid marketing campaigns (search, social, programmatic, display, affiliates, video). Set up in-house planning and buying, manage budgets, build marketing automation and advanced analytics capabilities, collaborate with analytics teams, mentor peers, and act as SME on market expansion and sales communications.

Support strategy development and execution by performing data analysis, research, and stakeholder interviews. Interact with clients in meetings and workshops, contribute to client deliverables, and participate in learning sessions to build consulting skills.

Lead and manage one or more consulting workstreams: identify and evaluate project ideas, prepare executive-level communications and workshops, manage client relationships, drive project delivery, mentor junior staff, and travel as required. Use analytical methods, market research, and commercial insight to deliver client outcomes.

Lead and own client deliverables and presentations, conduct and supervise primary and secondary research, perform advanced data analyses, develop hypotheses and business cases, support strategy development and implementation, run workshops, and manage client relationships and engagement quality.

Develop and maintain native iOS applications using Swift and modern frameworks; build native modules for enterprise apps; integrate with backend services (Shopify Headless APIs, Azure Middleware, ERP); implement Face ID/Touch ID, push notifications, deep linking, Apple Wallet, offline support; collaborate with React Native, UX/UI, backend, QA and DevOps teams; write unit/UI tests, support CI/CD with Azure DevOps, and document and optimize app performance.

Develop and maintain native iOS applications using Swift and modern frameworks, integrate enterprise backends (Shopify, Azure Middleware, ERP), implement native capabilities (Face ID, Apple Wallet, push notifications), collaborate with designers and cross-functional teams, write unit/UI tests, and support CI/CD with Azure DevOps.

Develop and maintain native Android applications in Kotlin, collaborate with React Native teams, implement native modules and enterprise integrations (Shopify, Azure), optimize performance, implement features like biometric auth, barcode scanning, push notifications and offline support, write tests, support CI/CD with Azure DevOps, and coordinate with global teams.

Develop and maintain native Android applications in Kotlin. Build native modules, integrate enterprise backends (Shopify, Azure), implement features like biometric auth, barcode scanning, push notifications, and offline support. Collaborate with designers, React Native teams, backend, QA, and DevOps; write tests, support CI/CD, and participate in estimation and documentation.

Lead client engagements, translate business problems into analytics and ML solutions, provide project oversight, develop presentations, identify new opportunities, and mentor junior team members while orchestrating the team.

Serve as the interface between business strategy and technology to evaluate AI/ML and eCommerce solutions, build business cases, support project delivery, run client workshops, develop project artifacts, and collaborate with solution architects to shape IT strategy.

The Senior DevOps Engineer will design and maintain integration solutions in a multi-cloud environment, focusing on automation and system performance, while collaborating with developers and architects.

Translate business problems into analytical solutions across the ML lifecycle: data wrangling, model development, deployment and monitoring. Build and productionize models (churn, CLV, segmentation, personalization) using MLOps tools and cloud platforms, apply statistical testing, create visual narratives for stakeholders, and collaborate with cross-functional teams in an agile environment.

Serve as strategic right hand to senior leaders on a major client partnership: establish and run a PMO, translate strategy into execution roadmaps, prepare executive materials, manage stakeholders, run leadership forums, and drive continuous improvement and confidentiality in partnership delivery.

Design and lead AI-assisted automation and acceleration solutions for large-scale SAP migration and data modernization. Define AI architecture, agents, RAG and workflow patterns; guide engineering teams across backend, data, AI, DevOps, and SAP integration to deliver production-ready, secure, auditable AI-enabled tools that automate analysis, code interpretation, testing, documentation, and migration activities.

Lead SAP-to-modern-data-platform migration architecture, define migration strategy and waves, assess SAP landscapes (BW, HANA, ABAP), guide technical teams, integrate AI-assisted migration tooling, ensure data quality, lineage, governance, and reconciliations, and coordinate stakeholders across Data Engineering, BI, AI, and business teams to deliver scalable, auditable migrations.

Lead SAP BW/ABAP migration and modernization efforts: analyze and re-engineer BW objects and ABAP programs, design cloud-ready data processing, define migration strategies, validate data, support AI-assisted migration, and provide technical leadership and post-go-live support.

Lead migration and modernization of SAP BW/HANA/ABAP to cloud platforms. Analyze BW objects and ABAP code, design scalable data processing and delta-load strategies, integrate via IDocs/RFCs/BAPIs/CDS/OData/APIs, validate migrations, support testing/cutover, troubleshoot performance and data quality, and collaborate with SAP, data engineering, BI, AI, and cloud teams.

Lead analysis, migration and modernization of SAP BW/HANA and ABAP data flows. Design scalable cloud-ready data processing, define migration strategies, validate source-to-target mappings, support AI-assisted migration, manage integration technologies, lead technical reviews, testing, cutover and post-go-live support, and drive data governance and metadata management.

Lead analysis, migration, and modernization of SAP BW/BW4HANA, SAP HANA, and ABAP solutions to cloud platforms. Design scalable, cloud-ready ETL and integration solutions, develop migration specs and mappings, support testing and cutover, troubleshoot data and performance issues, and collaborate with SAP, Data Engineering, BI, AI, and Cloud teams.