Manage the end-to-end IT recruitment process for the DACH region, focusing on sourcing, screening, and coordinating interviews with clients. Collaborate with internal stakeholders including Sales, Account Management, and Delivery to ensure successful candidate placement and client satisfaction.
The Delivery Support Assistant will handle day-to-day administrative and coordination tasks, including preparing recruitment documents and managing company agreements. They will also provide ongoing operational support to the Delivery team to ensure tasks are performed according to internal standards.
Design domain data models, event streams, and analytics layers for transactional and AI-driven systems. Establish data governance, lineage, and quality standards while ensuring compliance with GDPR requirements.
You will build and implement AI agents for credit, KYC, and document handling while developing model gateways and retrieval architectures. Additionally, you will create evaluation frameworks for AI behavior and ensure seamless integration across prototype and production-oriented engineering streams.
Design and develop scalable backend solutions using Golang and Python while building reliable APIs and complex business workflows. Ensure high code quality through automated testing and contribute to architectural decisions within an AI-assisted development environment.
You will design, build, and maintain a scalable, production-ready cloud platform while managing Kubernetes-based environments. Additionally, you will collaborate with development teams to automate infrastructure and transition prototypes into production-ready solutions.
Build and maintain full-stack applications, including React-based single-page applications and backend services using Kotlin and Python. Design APIs and integrations, contribute to cloud infrastructure and CI/CD, and uphold software quality through testing, code reviews, and production troubleshooting.
You will be responsible for designing and improving test automation frameworks using TypeScript and Playwright across multiple test layers. You will also collaborate with developers on unit and component testing while managing Azure DevOps pipeline integrations and quality gates.
You will design and develop backend services and APIs using Go while building fullstack solutions with TypeScript. Additionally, you will establish engineering practices for AI-generated code and contribute to technical architecture decisions.
You will drive the architecture for user-data handling and lead the migration of existing pipelines while ensuring output consistency. Additionally, you will establish engineering processes, mentor team members, and handle incident management.
You will build and maintain production-grade, Kafka-compatible event-streaming solutions and stream-processing applications using Apache Flink. Additionally, you will manage distributed workloads on AWS and Kubernetes while ensuring system reliability and scalability.
You will design, build, and maintain scalable cloud platform solutions on GCP while driving infrastructure automation and self-service capabilities. Additionally, you will collaborate with data engineers and architects to ensure platform reliability, security, and efficient CI/CD deployment processes.
You will develop, enhance, and maintain multi-tenant backend services and APIs using Go, Kubernetes, and PostgreSQL. Additionally, you will design data models, manage integrations with SaaS systems, and ensure code quality through automated testing and architectural reviews.
You will be responsible for developing and maintaining medium to large-scale applications using Perl while implementing solutions based on OOP and MVC patterns. Additionally, you will build APIs, manage database integrations, and contribute to CI/CD processes to ensure high-quality software delivery.
You will be responsible for developing, testing, and maintaining backend applications and RESTful APIs while managing CI/CD pipelines. Additionally, you will define service level objectives and implement monitoring strategies to ensure system reliability.
Design and implement scalable data ingestion and transformation pipelines using Azure Databricks and Medallion architecture. Collaborate with stakeholders to map business processes, define data requirements, and ensure high-quality data governance and integration.
You will design and evolve enterprise-scale GCP platforms while defining cloud architecture standards and governance frameworks. Additionally, you will drive infrastructure as code, implement SRE principles, and lead cloud migration and modernization initiatives.
Lead transformation workstreams from planning through delivery while coordinating multiple teams and external vendors. Manage project budgets, document business requirements, and oversee data migration processes to ensure successful system consolidation.
The Project Manager will coordinate infrastructure and digital workplace initiatives, including Microsoft environment migrations and identity management improvements. They will also track project progress, manage risks, and ensure effective communication with senior stakeholders and internal IT teams.
You will design, build, and maintain scalable data pipelines on GCP while developing and optimizing data models using BigQuery and dbt. Additionally, you will manage real-time and batch data processing using Kafka and ensure data quality across all pipelines.
You will own the machine learning platform infrastructure, including Vertex AI, Kubeflow Pipelines, and GKE-based training and serving environments. Additionally, you will build self-service workflows and CI/CD pipelines to enable data scientists to deploy models efficiently while ensuring reliability and security.
You will analyze, re-engineer, and rebuild reporting solutions while collaborating with data modelers and business stakeholders. The role involves identifying opportunities to consolidate dashboards and ensuring reporting alignment with new data products.
The GxP Validation Specialist will lead and support validation activities for data platforms, including co-authoring qualification documentation and SOPs. They will also ensure platform changes are managed through formal change-control processes and provide oversight for regulated data products.
You will build, configure, and maintain Databricks workspaces and platform services while developing Infrastructure as Code solutions using Terraform. Additionally, you will design and maintain CI/CD pipelines and support enterprise data platform governance through Unity Catalog.
You will build and maintain data pipelines, develop data products, and design serving-layer data architecture. Additionally, you will collaborate with analysts to translate business requirements into technical specifications and maintain data visualizations.
The Data Engineer will build and develop data pipelines and ELT processes while migrating legacy data quality controls to GCP. They will also be responsible for implementing data quality metrics in DBT and integrating solutions with GCP platform services.
You will define and document data governance operating models while designing processes for metadata and data product management. Additionally, you will facilitate workshops and collaborate with stakeholders to implement target-state data solutions.
You will design, develop, and optimize ETL/ELT pipelines and Spark workloads on Google Cloud Platform. Additionally, you will manage data-ingestion processes, orchestration frameworks, and improve the reliability and observability of data platforms.
You will design and implement verification strategies for migrating legacy financial applications to modern web solutions using AI-assisted workflows. This includes building automated quality gates, performing API and front-end testing, and facilitating knowledge transfer for the client's engineering team.
You will design, implement, and enhance the Google Knowledge Catalog platform while developing integrations for metadata acquisition and synchronization. Additionally, you will build solutions for data lineage, impact analysis, and support governance processes through technical analysis and operational control.
