Avaron AB

Platform Engineer

• Bygga dataproducts från slut till slut på Microsoft Fabric, från inhämtning till Bronser, Silver och Guld lager, modellering och publicering.
• Skapa återanvändbara mallar, parametriserade pipelines, metadata-driven inhämtning, notebookbibliotek och upprepade leveransmönster.
• Implementera datakontrakt, metadata standarder, livscykelkontroller, ägarinformation och styrningspraxis som stöder domänägda dataproducts.
• Stärka katalog, linje, klassifikation, ägarskap och datakvalitetskapabiliteter med hjälp av Microsoft Purview och Fabric-inbyggda funktioner.
• Definiera kvalitetskontroller, valideringsregler, certifieringskriterier och operativa kontroller för pålitlig leverans.
• Bygga och underhålla instrumentpaneler för plattformens hälsa, pipeline tillförlitlighet, uppdateringsstatus, användning, incidenter och kostnadssynlighet.
• Spåra SLA och SLO, förbättra övervakning, etablera runbooks och incidentrutiner, och driva kontinuerlig förbättring inom plattformsstöd.
• Hantera daglig FinOps-arbete, inklusive kapacitetsutnyttjande, kostnadsallokering, showback, anomalidetektering och optimeringsrekommendationer.
• Stödja domänteam när de ansluter till plattformsstandarder och arbetssätt, och bidra till rapporteringsfokuserad Guld-lagerberedning när det behövs.

Data Product & Platform Operations Engineer

Backend Engineer

• Define and evolve the target-state architecture for the self-service data platform
• Guide architecture across Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Dataflows, notebooks, semantic models, APIs, and integrations
• Establish patterns for workspaces, environments, capacity, tenants, deployment, and lifecycle management
• Define reusable data-product patterns covering layering, data contracts, metadata, lineage, versioning, and consumption standards
• Support architecture for current and future domain data products and help teams adopt platform standards
• Design governance principles, including catalog strategy, quality framework, federated governance, and platform guardrails
• Define integration patterns for APIs, batch, events, CDC, D365, Dataverse, and legacy-source connectivity
• Assess when Microsoft Fabric is the right fit and when other tools are more appropriate
• Guide secure access models, environment separation, identity patterns, and data segregation needs
• Define SLA and SLO principles and provide architecture reviews and technical guidance across platform and reporting teams

Senior Data Platform Architect

• Design, build, and improve automation and engineering tooling in Python.
• Work hands-on with Azure-based solutions, including modern data platform components.
• Develop, maintain, and refine CI/CD workflows using GitHub Actions, GitHub Workflows, and reusable workflow patterns.
• Support production-oriented software engineering with Docker as a natural part of daily development.
• Contribute to solutions involving technologies such as Apache Spark, Hadoop, Kafka, schema enforcement, data quality validation, and Power BI.
• Collaborate with cross-functional teams while driving technical work independently in a senior engineering role.

Senior Python Engineer

Data Scientist

• Maintain and improve the existing optimization model by identifying limitations and implementing enhancements
• Present model outputs and analytical insights to stakeholders, turn business needs into technical solutions, and continuously incorporate feedback into the product
• Help ensure that the deployed AI product on GCP remains robust, efficient, and reliable through monitoring and ongoing maintenance
• Improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs
• Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, scalability, and reliability of the optimization solution
• Implement MLOps practices for deployment, monitoring, and lifecycle management of machine learning models
• Perform ad hoc analyses and create visualizations that support data-driven decisions across teams