Own the AI Hub’s technical direction and ensure consistent architecture, engineering practices, and technology choices across its portfolio. Guide AI solutions from design and proof of concept through production and ongoing improvement, while supporting engineers, evaluating new developments, and promoting scalable, secure, maintainable solutions.
Design and improve data quality controls, automated tests, monitoring, dashboards, and standards for Sales and Finance data products. Investigate data anomalies, coordinate remediation with relevant teams, and embed quality checks into data pipelines.
The Lead Data Analyst will take ownership of data initiatives, transforming complex datasets into actionable insights to support business decision-making. They will collaborate with multidisciplinary teams to design data models, maintain dashboards, and ensure high data quality across cloud-based environments.
Lead requirements discovery, solution design, and platform implementation initiatives for Certinia and Salesforce environments. Act as a primary advisor to stakeholders while managing end-to-end business process design and configuration.
The Product Owner will manage the Salesforce Sales Cloud backlog, aligning business priorities with technical delivery. They will act as the primary bridge between stakeholders and the development team to ensure the delivery of scalable CRM solutions.
You will be responsible for the administration, maintenance, and performance tuning of Oracle database platforms in mission-critical environments. This includes managing backups, disaster recovery plans, and supporting development teams with SQL and PL/SQL optimization.
Build and operate cloud infrastructure and reusable deployment and observability patterns for AI solutions, data pipelines, APIs, and agents, primarily on Azure with some AWS. Automate provisioning and operations, support cloud architecture decisions, enforce security and resilience standards, and help international IT teams onboard, troubleshoot, and scale environments.
You will support the delivery of data migration projects by designing, configuring, and implementing Boomi DataHub solutions. Additionally, you will ensure data quality and consistency while collaborating with technical and business stakeholders.
You will be responsible for building and maintaining applications on the Mendix platform. The role involves integrating enterprise systems and collaborating within an international team.
The Systems Architect will define and govern the organization's technology strategy across hybrid and multi-cloud environments. They will lead architecture initiatives for digital transformation, IoT, and integration projects while ensuring alignment with security and governance standards.
Manage and maintain Microsoft enterprise workloads including Dynamics 365, SharePoint, and Windows Server environments. Ensure system stability, security compliance, and support deployments through automation and CI/CD workflows.
The Platform Engineer will design, build, and maintain development, testing, and production environments while ensuring reliable software delivery. They will also implement automation, manage infrastructure as code, and monitor system performance to drive continuous improvement.
Design and implement a self-service golden path for cloud platform consumption using Terraform and automation. Establish controlled build, test, release, and promotion mechanisms while documenting maintenance and support models.
The Systems Administrator will manage and monitor Linux and Windows Server environments, including virtualized infrastructure. They will also perform system troubleshooting, documentation, and collaborate with technical teams to optimize infrastructure solutions.
The Solution Architecture Lead will build and mentor a team of architects while defining the architectural vision and roadmap across engineering domains. They are responsible for ensuring system reliability, managing technical debt, and aligning architectural standards with business goals.
You will be responsible for managing and optimizing the AWS CI/CD ecosystem and implementing infrastructure as code using AWS CDK. The role involves collaborating within a dynamic team to maintain cloud infrastructure and ensure efficient deployment pipelines.
You will develop and maintain data platforms, supporting data pipelines and ETL/ELT processes for a large-scale energy provider. Additionally, you will collaborate with stakeholders to troubleshoot issues, optimize SQL queries, and automate data ingestion and delivery workflows.
Design, operate, and evolve scalable Kubernetes-based platforms while managing cluster lifecycles and automation workflows. Collaborate with cross-functional teams to implement CI/CD pipelines, GitOps practices, and robust monitoring frameworks.
The Data & Integration Architect will lead the definition and execution of data and integration strategies for a global migration from Veeva CRM to Salesforce. They will ensure alignment between business requirements and technical architecture across international stakeholders and delivery partners.
Develop and maintain backend systems using Java and relational databases. Build and integrate REST and SOAP web services while following Agile methodologies.
Architect and build sophisticated AI agents using Gemini and CXAS, focusing on reasoning, grounding, and tool-use capabilities. Manage the migration of legacy conversational interfaces and implement RAG pipelines and CI/CD automation for scalable deployments.
Model and transform data into consistent analytical structures while building and optimizing ELT pipelines. Collaborate with cross-functional teams to provide reliable semantic layers and ensure high data quality and observability.
Develop and maintain robust data pipelines and analytical data models using SSIS and SSAS. Build reporting solutions with Power BI and SSRS while optimizing SQL Server performance and ensuring data quality.
Build and maintain data pipelines for collecting, transforming, and integrating data from various sources. Ensure efficient data enablement and reporting solutions through the deployment of scalable data products.
The role involves designing and optimizing data flows within a Fabric Lakehouse environment, focusing on low-latency processing and multi-stack integration. Responsibilities include implementing data design patterns like SCD and managing transaction logs for Delta Lake.
Define standards and blueprints for AI integration across the SDLC and DataOps while ensuring technical governance. Collaborate with cross-functional teams to maintain architectural consistency and support digital transformation initiatives.
Design and develop scalable backend platforms and reusable APIs, as well as implement cloud-native and containerized applications. Collaborate with cross-functional teams to translate business requirements into technical solutions.
