Top Tech Jobs & Startup Jobs

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.

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.