CBTW

Cloud Engineer

• Independently develop, deploy and operate scalable cloud architectures
• Work closely with internal teams and clients to integrate generative AI models into production cloud solutions
• Optimize cloud resources for performance, cost-efficiency, scalability and security
• Analyze and sustainably resolve complex infrastructure and performance issues
• Build, enhance and automate CI/CD pipelines for cloud services and AI models
• Provide technical consulting to clients and actively help shape architectural decisions
• Continuously develop best practices in Cloud Engineering and Generative AI

Cloud Engineer – Generative AI, LLM

Business Analyst

• Collaborate with business stakeholders to understand their objectives, needs, and challenges
• Conduct interviews, workshops, and research to elicit and document functional and technical requirements
• Work closely with stakeholders and development teams to translate business requirements into detailed system specifications, use cases, and user stories
• Document functional and non-functional requirements, process flows, and data models
• Collaborate effectively with cross-functional teams to ensure successful implementation and integration of IT solutions
• Support the testing team by reviewing test cases, conducting functional testing, and participating in user acceptance testing (UAT) to validate that the implemented solutions meet the business requirements

Senior Business Analyst

Data Engineer

• Design scalable, secure data architectures: Data Lake, Data Warehouse
• Produce cost estimates and objectively compare different technologies and architectures
• Contribute to technology selection based on business requirements and technical constraints
• Build and industrialize batch and real-time data pipelines
• Implement CI/CD practices, observability, governance, and data quality
• Optimize performance and cost in cloud environments

Business Intelligence Developer

• Full accountability for the LookML codebase, including expert-level query performance tuning and optimization within Looker-specific constraints
• End-to-end responsibility for SQL and Python scripts. This includes navigating SQL Server environments to manage the tables and views that power Looker models.
• Rigorous peer code reviews in GitHub to maintain high-quality standards.
• Balance "Business as Usual" (BAU) support and troubleshooting with the development of long-term product features and releases.
• Partner closely with Engineering to ensure seamless product deployments and feature rollouts.
• Translate complex data logic into clear, actionable answers for non-technical stakeholders and act as a technical escalation point for client queries.
• Work synchronously with Database Analyst, Cloud Engineering, Engineering, and Product teams to ensure technical alignment and operational excellence.
• Lead upskilling sessions and maintain a "positive mindset" toward documentation, ensuring the team remains scalable and well-informed.
• A drive to master emerging technologies and keep pace with industry trends.
• Meticulous approach to data validation, code integrity, and documentation.
• Foster a culture of continuous learning within the team.
• End-to-End Reporting: Gather stakeholder requirements, guide DWH developers on table structures, and implement polished visualizations in Tableau.
• Architect’s Partner: Define functional requirements for the Data Warehouse. While you won’t build the pipelines, you will guide Star Schema design to ensure optimization for high-performance reporting.
• Metrics Governance: Take full ownership of the JobAdder "Metric Store." Lead the sign-off process to ensure definitions are consistent across all departments.
• Root-Cause Investigation: Use advanced SQL profiling to perform deep-dive audits and investigate why "the numbers don't look right," bridging the gap between business expectations and raw data.
• Documentation & KT: Maintain rigorous documentation for governed metrics. You believe a dashboard is only as good as the metadata behind it.

Senior BI Engineer

Backend Engineer

• Build and enhance customer self-serve experiences that reduce operational load and improve transparency.
• Maintain and improve internal admin screens for customer management and platform configuration.
• Deliver end-to-end features: UI, API integration, validation, error handling and telemetry.
• Partner with product/design to ship iterative improvements with clear outcomes and adoption metrics.
• Contribute to AI uplift in the product experience where relevant, including integrating with MCP-enabled services in a governed way.
• Provide continuous support and guidance to less senior colleagues through regular coaching activities and support them in fulfilling their personal development plans.

Senior/Medior Fullstack Engineer – PHP, ReactJS

• Independently develop, deploy, and operate scalable cloud architectures
• Work closely with internal teams and clients to integrate generative AI models into production cloud solutions
• Optimize cloud resources for performance, cost, scalability, and security
• Analyze and sustainably resolve complex infrastructure and performance issues
• Build, enhance, and automate CI/CD pipelines for cloud services and AI models
• Provide technical consultancy to clients and actively contribute to architectural decisions
• Continuously refine and advance best practices in cloud engineering and generative AI

• Independently develop, deploy and operate scalable cloud architectures
• Work closely with internal teams and clients to integrate generative AI models into production cloud solutions
• Optimize cloud resources for performance, cost, scalability and security
• Analyze and sustainably resolve complex infrastructure and performance issues
• Build, enhance and automate CI/CD pipelines for cloud services and AI models
• Provide technical consulting to clients and actively contribute to architecture decisions
• Continuously improve best practices in cloud engineering and generative AI

• Design, develop, and maintain data pipelines and ETL processes using SAS Enterprise Guide and SAS Viya
• Work on data preparation, transformation, and integration to ensure high data quality and consistency
• Develop and optimize SAS programs and queries for performance and scalability
• Contribute to the migration or implementation of SAS Viya platforms
• Design and maintain data models and reporting layers for BI use cases
• Collaborate with business stakeholders, analysts, and data scientists to translate business needs into technical solutions
• Ensure data governance, security, and compliance within SAS environments
• Monitor and troubleshoot data workflows and improve system performance
• Stay up to date with SAS ecosystem evolutions and BI best practices

Cloud Engineer – Generative AI, LLM

Senior Business Analyst

Data Engineer

Senior BI Engineer

Senior/Medior Fullstack Engineer – PHP, ReactJS

Cloud Engineer – Generative AI, LLM

Cloud Engineer – Generative AI, LLM

Data Engineer, BI