Top Tech Jobs & Startup Jobs

Works with clients and delivery teams to discover business needs, analyze processes and systems, define requirements, create user stories and process models, support solution design and testing, manage traceability, and enable business readiness. The role spans data, integration, AI, cloud, and broader technology projects, while also contributing to pre-sales discovery and internal process improvements.

Owns end-to-end marketing campaigns for Adaptiv’s Australian market, covering positioning, content, creative production, demand generation, nurture, sales handover and performance reporting. The role produces collateral, presentations, social graphics, event assets and video; manages brand guidelines, website, SEO, social media, marketing automation and CRM workflows; supports trade shows, sponsorships and tenders; and translates complex technical topics into clear, engaging content.

Lead delivery of multiple data and analytics projects, coordinating planning, budgets, risks, governance and stakeholder engagement. Work with Data Engineers, Solution Architects and consultants to remove blockers, run workshops, manage financials, resource planning and improve delivery processes while maintaining client relationships and project quality.

The Boomi Architect/Consultant leads integration solutions, manages teams, aligns strategies, and engages clients while driving cloud and API integration projects.

As a Technical Analyst - Graduate Developer, you will provide technical support, assist in client onboarding, and contribute to developing high-quality solutions while collaborating with internal teams.

The Azure Data Engineer role involves designing and implementing data solutions on Azure, working with multiple projects, and consulting with clients. Key responsibilities include developing data architectures, continuous integration practices, and engaging in training and continuous improvement initiatives.

The Senior Data Engineer/Consultant will lead data engineering engagements, focusing on Databricks solutions, mentoring teams, and delivering high-quality data pipelines and integrations.

Senior hands-on consulting role to design, build and optimise Microsoft Fabric-based data platforms. Build Lakehouse/Warehouse solutions, develop ingestion and transformation pipelines with Python/PySpark/SQL, apply DevOps and data governance, work directly with clients, lead technical discussions, mentor engineers, and ensure production reliability and performance.