Top Tech Jobs & Startup Jobs

Lead requirements gathering and process design for an AI-enabled drafting system during a 6-week contract. Manage and prioritise backlog, plan sprints, facilitate scrum ceremonies, remove impediments, write Gherkin user stories, model data/application/process using UML/BPMN, and maintain stakeholder alignment to keep delivery on schedule.

Lead Nasstar's ServiceNow/ITSM platform strategy and delivery, partnering with business leaders and MSPs to drive roadmap, governance, security, upgrades, integrations, AI/automation, and operational excellence across modules and environments.

Coordinate end-to-end provisioning of broadband and Ethernet services for UK customers: process orders, liaise with suppliers, escalate delays, update internal teams and customers, maintain records, support email/web chat interactions, and improve provisioning processes.

Own Databricks-centric presales: lead discovery, design Lakehouse reference architectures, run demos/POCs, produce RFPs/SOWs, and align Sales, Delivery, and Databricks partner teams to win data engineering, MLOps, and GenAI deals.

Facilitate workshops to define AI agent use cases; design, configure and deploy agents using Copilot Studio and Microsoft AI tools; integrate with Power Platform and enterprise data; test, iterate, scale and hand over solutions while enabling governance, training, and stakeholder alignment.

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 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 pipelines and ETL processes on Azure (Databricks, ADF, Synapse, ADLS). Implement data models, quality checks, governance, and performance optimization. Collaborate with architects, cloud engineers, data scientists, and stakeholders to consolidate legacy services and enable data-driven insights.

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.

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.