The OpportunityWe are supporting a majordata platform transformation within a banking environment, moving from a legacy SQL Server and SSIS-based setup to a modern, scalable architecture built ondbt, Dagster, and OpenShift.This role is not about maintaining existing systems.
It is aboutrebuilding a critical data platform from the ground up, with direct impact onrisk, trading PnL, and core financial data flows.We are looking for ahands-on Senior Data Engineerwho can take ownership of complex migration workstreams and deliver reliably in a regulated, high-stakes environment.What You Will DoYou will play a central role in theend-to-end migration and modernisationof the data platform.Platform TransformationTranslate legacy ETL logic from SSIS and stored procedures into modernELT pipelines using dbtImplementData Vault 2.0 structuresincluding Raw Vault and Business VaultBuilddatamarts and curated datasetsfor downstream analytics and reportingOrchestration & InfrastructureDesign and operate workflows usingDagster, including scheduling, dependencies, and recovery mechanismsDeploy and run data workloads onOpenShift / Kubernetes environmentsEvent-Driven Data ProcessingEnablenear real-time data processingusing Kafka-triggered pipelinesIntegrate with upstream data lake environments and external data providersData Quality & ValidationEstablish robustdata validation and reconciliation processesImplement automated testing and monitoring using dbtOperational OwnershipSupport production pipelines and resolve incidents when requiredCreate clear documentation and ensure operational readinessContinuously improve performance, reliability,



and maintainabilityWhat You Will DoYou will play a central role in theend-to-end migration and modernisationof the data platform.Platform TransformationTranslate legacy ETL logic from SSIS and stored procedures into modernELT pipelines using dbtImplementData Vault 2.0 structuresincluding Raw Vault and Business VaultBuilddatamarts and curated datasetsfor downstream analytics and reportingOrchestration & InfrastructureDesign and operate workflows usingDagster, including scheduling, dependencies, and recovery mechanismsDeploy and run data workloads onOpenShift / Kubernetes environmentsEvent-Driven Data ProcessingEnablenear real-time data processingusing Kafka-triggered pipelinesIntegrate with upstream data lake environments and external data providersData Quality & ValidationEstablish robustdata validation and reconciliation processesImplement automated testing and monitoring using dbtOperational OwnershipSupport production pipelines and resolve incidents when requiredCreate clear documentation and ensure operational readinessContinuously improve performance, reliability, and maintainabilityRequirementsWhat You BringTechnical ExpertiseStrong experience withSQL Server and T-SQL, including performance optimisationProven hands-on experience withdbtin production environmentsSolid experience withworkflow orchestration tools, ideally DagsterPractical knowledge ofData Vault 2.0 modelling conceptsExperience working withcontainer platforms such as OpenShift or KubernetesFamiliarity withevent-driven architectures and KafkaDomain ExperienceExperience working withfinancial data, ideally in banking or trading environmentsUnderstanding ofrisk and PnL data structuresis a strong advantageWorking StyleStrong ownership mindset with the ability to work independentlyStructured, pragmatic, and delivery-focusedComfortable operating in complex and regulated environmentsClear communicator across both technical and business stakeholdersWhat Success Looks LikeWithin the first months, you will have:Delivered initialData Vault structures and migrated datasetsinto the new platformEstablishedstable, event-driven pipelinesEnsureddata consistency and validationbetween legacy and new systemsContributed to aproduction-ready, scalable data platform

📌 Senior Data Engineer (Xico)
🏢 Avacone
📍 Xico