Jobs at Nasstar

Lead requirements elicitation and backlog management to align product deliveries with business vision. Write testable user stories and acceptance criteria, run discovery workshops, facilitate Agile ceremonies, collaborate with technical stakeholders, and support pre-sales to identify opportunities.

Lead hands-on architecture, design, build, and delivery for complex Microsoft Azure client engagements. Own Azure technical standards, security baselines, tooling choices, quality assurance, presales, solution estimation, proposals, statements of work, and Microsoft partnership activities. Mentor and help grow the Azure capability without direct line-management responsibility. The role is remote within the UK but requires client and London office travel.

Lead Telecoms Security Act compliance and Ofcom engagements, validate technical evidence, assess risks and controls, align frameworks (NCSC CAF, ISO27001), support governance, and oversee third-party security and contractual obligations across engineering, security, and operations.

Lead design and implementation of data governance and MDM strategies, develop policies and metadata/lineage practices, enforce data quality, deploy governance tooling, engage stakeholders, ensure regulatory compliance, and mentor team members.

Design, launch and run an enterprise ABM programme: select and prioritise target accounts, build personalised 1:1 and 1:few campaigns, align with sales on joint account plans, leverage partner co-sell motions, measure account-level engagement and pipeline impact, and report ABM ROI to marketing and sales leadership. Remote UK with occasional travel.

Lead and scale Engagement Management as a senior leader: own delivery health, commercial performance, client relationships, governance, tooling and metrics. Build and recruit the Engagement Management team, productise delivery as a sellable service, optimise utilisation and margin, and contribute to renewal and growth while working closely with Data, AI, Cloud and software teams.

Hands-on IAM consultant responsible for auditing existing identity estates, designing Microsoft Entra ID target architectures, executing phased migrations, configuring hybrid sync, implementing MFA/Conditional Access/passwordless, migrating SSO integrations, enabling identity governance (PIM, access packages, reviews), monitoring/sign-in logs during cutover, and documenting runbooks for operations handover.

Drive new logo acquisition (80%) and expand existing Nasstar accounts (20%) by leading consultative Microsoft Data & AI solution sales, collaborating with Microsoft sellers, managing end-to-end sales cycles, delivering presentations/demos, and executing go-to-market and account growth strategies.

Client-facing cloud engineer designing, building, and operating scalable AWS infrastructure and data-platform foundations. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, technical presales, and mentor junior engineers.

Client-facing Principal Data Engineer leading design and delivery of enterprise Databricks-based data platforms. Provide architecture leadership, mentor engineering teams, drive platform optimisation, define standards, support technical governance, and deliver across multiple consultancy engagements.

Design, build, and maintain scalable cloud-based data platform and ETL pipelines on Azure. Develop data models, ensure data quality, optimize performance, implement governance and security, and collaborate with stakeholders and data scientists to enable data-driven solutions.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

Serve as the senior client-facing delivery lead for data, AI, and digital transformation programmes. Plan, mobilise, and oversee delivery governance, controls, financials, and stakeholder communication. Manage cross-functional teams and vendor relationships, support commercial outcomes, contribute to proposals and practice improvements, and ensure timely revenue recognition and high-quality client experience.

Facilitate workshops to define AI/agent use cases, design and deploy Copilot Studio agents integrated with Power Platform and enterprise data, test and iterate solutions, enable scaling and governance, and provide documentation, training, and stakeholder engagement to drive adoption.

Lead end-to-end delivery of a multi-workstream, francophone data programme: run governance, manage RAID and change control, oversee resourcing and T&M commercials, coordinate cross-border squads, ensure quality gates, and author bilingual client-facing documentation.

Lead client-facing data platform architecture and strategy. Design scalable Databricks/Azure or AWS-based solutions, oversee multi-team delivery, incident response, governance, and data security. Mentor engineers, drive roadmap and budget decisions, and ensure resilient, high-quality data pipelines aligned to business goals.

Entry-level data engineer to follow a structured 12-month development programme. Build internal reporting, reusable engineering frameworks, documentation, and tooling while learning SQL, Python, Databricks and cloud data services. Support senior engineers, join code reviews, shadow customer workshops, and progressively contribute to client projects.

Design, build and maintain cloud-native ETL/ELT pipelines and data lake solutions using dbt, Snowflake/Databricks and AWS services. Optimize SQL and data models for performance and cost, create dashboards, follow CI/CD and software engineering best practices, and collaborate with architects, engineers and clients to deliver production-ready enterprise data solutions.