Nasstar

Manager

• Act as the senior client-facing point of accountability for all assigned engagements, managing relationships from programme level through to individual workstream sponsors.
• Lead engagement planning, mobilisation, and delivery oversight across data, AI, and digital transformation projects, applying appropriate methodology and governance frameworks.
• Maintain project controls including RAID logs, change control, status reporting, and financial tracking; provide early-warning escalations to senior leadership where required.
• Support the commercial health of engagements — forecasting revenue, monitoring margin, managing scope variations, and collaborating with account teams on renewals and extensions.
• Drive stakeholder management plans; communicate programme status, risks, and decisions with clarity to both client and internal audiences, escalating appropriately.
• Manage and influence cross-functional teams including internal delivery squads, third-party vendors, and client-side resources on a matrix management basis.
• Ensure smooth sales-to-delivery handover, working closely with Solutions Architects and Account Managers to validate scope, resource plans, and commercial structures before mobilisation.
• Contribute to Colibri's delivery practice — identifying improvement opportunities, sharing lessons learned, and helping to evolve engagement management standards and tooling.
• Support business development activities including contributing to proposals, Statements of Work, and client presentations as the delivery authority.
• Ensure timely and accurate revenue recognition in collaboration with finance, maintaining discipline around milestone achievement, purchase orders, and invoicing.
• Act as cultural ambassadors — both externally with clients and internally across our delivery teams. The way an EM shows up directly shapes how our people feel and how our clients experience Colibri.

Engagement Manager

Business Analyst

• Define, improve and standardize the requirements-gathering process.
• Shape product vision and backlogs by working closely with our clients' Product Owners.
• Write clear, testable user stories and acceptance criteria in collaboration with internal and external technical stakeholders (Solution Architects, Software Engineers, QA).
• Facilitate discovery workshops with technical and non-technical stakeholders to advance product development and identify new opportunities.
• Contribute to winning new contracts by engaging with prospective clients during pre-sales activities.
• Support and mentor less-experienced team members.

Senior Business Analyst

Business Development Rep

• Identify, engage, and close new logo opportunities across targeted industries using Microsoft Data and AI solutions.
• Lead consultative sales cycles focused on business transformation enabled by Microsoft technologies, including Azure Data, AI, and analytics platforms.
• Build and maintain strong relationships with Microsoft account teams, Partner Development Managers, and solution specialists to Co-Sell and drive joint success.
• Work with Account Directors to identify and deliver cross-sell and upsell opportunities within existing customers to expand Microsoft solution adoption.
• Work with marketing, pre-sales, and delivery teams to design and execute targeted go-to-market strategies, campaigns, and solution offerings.
• Deliver compelling solution presentations and demonstrations to business and technical audiences.
• Own the sales cycle from prospecting to closure, including qualification, solution shaping, commercial negotiation, and handover to delivery.

Business Development Manager

Data Engineer

• Vous servirez de passerelle entre une architecture technique complexe et la valeur commerciale stratégique.
• Vous serez la principale autorité technique pour nos clients.
• Agir en tant que partenaire stratégique principal auprès des responsables métiers clients.
• Piloter le développement d'architectures de données complexes et à grande échelle.
• Superviser les performances de livraison de plusieurs équipes.
• Diriger le tri et la résolution des incidents critiques de la plateforme.
• Mettre en œuvre des cadres de gouvernance robustes et des contrôles de conformité.
• Promouvoir une culture organisationnelle de partage des connaissances.
• Influencer la santé à long terme de l'organisation.

Principal Data Engineer – Contractuel

Customer Support

• - Being the first point of contact for Nasstar NGMS customers
• - To answer telephone calls, live chat and portal communications from clients and their users, ensuring a professional manner is maintained throughout
• - Speak with confidence on the issue at hand, reassuring the customer of a positive outcome
• - To correctly validate issues, including service/product offering, categorization, prioritization, advising product users through features, functionalities and initial triage detail
• - To resolve issues/requests on first contact
• ** Work as part of a team **
• - Support the team in reaching its KPI’s and objectives
• - Work with peers and mentors to progress your working knowledge
• - Communicate with your team and leaders if assistance is required
• - Collaborate and share knowledge to improve the team's wider capability
• **Actively managing and maintaining a list of assigned cases**
• - By ensuring they are regularly updated in-line with contractual SLAs
• - Keeping the customer informed and updated with the progression of their issue
• - Ensuring any investigative work is documented in tickets you’re working on
• - Being accountable for collecting updates from resolver teams to see the issue through to resolution
• **Conference & events support **
• - Set up video events sessions on the various platforms infrastructure systems and launch the video conferences at scheduled time.
• - Manage and support assigned video events until completion, remaining focused on the customer at all times.
• - Provide Live Assist, Meet & Greet and Dedicated Engineer services for customer video conferences.
• - Perform first line troubleshooting with the customer's local site support for problems that occur during video events.
• - Report and update video conference details post-conference into the centralized database accurately and concisely.
• - Open incident tickets against all issues reported into the centralized CSM/ITSM tool i.e. ServiceNow**accurately and concisely.
• - Manage and support high profile video events.

Customer Services Analyst

Solutions Engineer

• Databricks solution advocacy: articulate the value of the Databricks Data Intelligence Platform — Lakehouse architecture, Delta Lake, Unity Catalog, Photon, Databricks SQL, Workflows, MLflow, Mosaic AI, and Databricks Apps — tailoring presentations and demos to each prospect's business and technical context.
• Technical consultation: act as the trusted Databricks expert during sales engagements, handling deep technical questions, addressing objections, and positioning Databricks against alternatives (Snowflake, Microsoft Fabric, native cloud data warehouses, open-source Spark / Iceberg stacks).
• Discovery and requirements gathering: lead structured discovery with data, analytics, and platform teams to capture current-state architecture, workloads, governance constraints, and target outcomes; translate findings into prioritised solution options.
• High Level Solution design: design Databricks-based reference architectures across AWS, Azure, and GCP, covering ingestion, Lakehouse modelling (Bronze / Silver / Gold), Unity Catalog governance, MLOps with MLflow, GenAI patterns (RAG, fine-tuning, agentic), and cost / performance optimisation.
• Demos and POCs: build and run compelling demos and time-boxed POCs on Databricks that prove value against agreed success criteria.
• RFPs and proposals: own the technical content of RFP / RFI responses, technical proposals, architecture diagrams, and Statements of Work in collaboration with the Commercial and Delivery teams; ensure SOWs are accurate, deliverable, and commercially sound.
• Cross-functional collaboration: act as the connective tissue between Sales, Practice Leads (Data Engineering, ML, GenAI, Platform), and Delivery, ensuring proposed solutions are deliverable, commercially sensible, and aligned to capacity and timelines.
• Partner alignment: work hand-in-glove with Databricks field teams — account executives, specialist SAs, partner managers — on joint pursuits, co-selling motions, and partner programmes.
• Delivery embedment: Periodically, you will be embedded with the delivery team in a billable role on client engagements — typically as a Databricks Solutions Architect during design or mobilisation phases — keeping you close to the platform and ensuring pre-sales commitments land cleanly in delivery.

Pre-sales Solutions Architect, Databricks

Full-stack Engineer

• Cloud-Native Development: Architect and build high-performance web applications using React, Node.js, and TypeScript. You will own the full lifecycle, from frontend UI components to backend business logic.
• Infrastructure as Code (IaC): Lead the implementation of cloud environments using Terraform. You will treat infrastructure as a first-class citizen, ensuring all client environments are reproducible, version-controlled, and secure.
• Serverless Architecture: Design and deploy event-driven solutions leveraging AWS Lambda and other AWS services. You are expected to be adept at managing serverless state, permissions (IAM), and performance tuning.
• AI-Accelerated Workflow: Proactively utilise AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate delivery, automate testing, and refactor legacy code, while maintaining strict manual oversight for security and quality.
• Automation & CI/CD: Build and manage automated pipelines that bridge the gap between application code and infrastructure deployment, ensuring a seamless "push-to-deploy" experience.
• Consultative Leadership: Act as a subject matter expert in client "pods" mentoring junior engineers and confidently presenting architectural roadmaps to customer stakeholders.

Senior Full Stack Developer

• - Define, improve, and standardise the requirements elicitation process.
• - Shape products' vision and backlogs working closely with our customers' Product Owners.
• - Write clear, testable user stories and acceptance criteria working with both internal and external technical stakeholders (Solution Architects, Software Engineers, QA).
• - Run discovery workshops with both technical and non-technical stakeholders to advance product development and identify new opportunities.
• - Contribute to winning new business by engaging with potential customers in a pre-sales capacity.
• - Coach and mentor less experienced team members.

• Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals while championing reliability and "clean data" for all consumers.
• Drive the development of complex, large-scale data architectures and multi-year technology roadmaps, balancing technical innovation with cost efficiency and operational stability.
• Oversee "team-of-teams" delivery performance, ensuring the quality and resilience of high-impact data pipelines while managing capacity planning and team velocity.
• Lead the triage and resolution of critical platform incidents, taking full ownership of root-cause prevention and maintaining transparent communication with clients during recovery.
• Implement robust governance frameworks and compliance controls, acting as the authoritative lead on risk mitigation and the primary technical contact for regulatory matters.
• Champion an organisational culture of knowledge sharing, representing the firm at industry events and establishing best practices across communities of practice.
• Influence long-term organizational health by driving platform efficiency, managing engineering budgets, and leading strategic hiring and retention initiatives.

Principal Data Engineer, French Speaking

• Define, improve, and standardise the requirements elicitation process.
• Shape products' vision and backlogs working closely with our customers' Product Owners.
• Write clear, testable user stories and acceptance criteria working with both internal and external technical stakeholders (Solution Architects, Software Engineers, QA).
• Run discovery workshops with both technical and non-technical stakeholders to advance product development and identify new opportunities.
• Contribute to winning new business by engaging with potential customers in a pre-sales capacity.
• Coach and mentor less experienced team members.

Senior Business Analyst, French Speaking

Recruitment

• - Talent Acquisition Partners are responsible for finding and hiring ever-more talented people to join us.
• - Through various sourcing channels they ensure hiring is prompt, and that candidates are great matches to technical needs, committed to our core values, and will stay to develop their career(s).
• - In line with our Talent Acquisition (TA) strategy, the Talent Acquisition Partner focuses on providing a great experience to candidates, managers and the business as a whole.

Talent Acquisition Partner

Artificial Intelligence

• Design & Build Solutions - Configure, customise, and deploy AI-powered solutions using Copilot Studio, Power Platform, and related Microsoft technologies, with a particular focus on scenarios that move the customer from experimentation to systematic adoption (e.g. AI assistants, digital agents, workflow automation).
• Test, Iterate, and Scale - Conduct solution testing, gather user feedback, and perform iterative enhancements which improve solution functionality, user experience, and drive value realisation. Enable customers and internal teams to extend, maintain, and scale delivered solutions.
• Engage Stakeholders Across the Business - Build relationships across customer organisations — from senior leadership to technical teams — and ensure alignment throughout the engagement.
• Documentation & Knowledge Transfer - Produce clear documentation and provide handover, trainings, and adoption activities to customers or support teams.

AI Consultant – Contract

Cloud Engineer

• Collaborate closely with client stakeholders to understand their business objectives and technical requirements, providing expert advice and designing best-practice cloud solutions on Azure.
• Lead the hands-on implementation and deployment of cloud infrastructure using Infrastructure as Code (IaC) principles with tools such as Terraform or CloudFormation.
• Architect and build the foundational cloud services required to support modern data platforms, including data lakes, data warehouses, and machine learning environments.
• Develop and manage CI/CD pipelines to automate the deployment, testing, and integration of infrastructure and applications.
• Provide ongoing operational support and maintenance for client cloud environments as part of our managed services offering, ensuring reliability, security, and performance.
• Implement and enforce cloud security best practices, cost management strategies, and governance policies to ensure client environments are secure, compliant, and cost-effective.
• Assist the sales team in a technical capacity during pre-sales engagements, including contributing to proposals and presenting technical solutions to prospective clients.
• Act as a subject matter expert within the business, mentoring junior colleagues and contributing to internal best practices and knowledge bases.