Our client
Direct&Permanent Hires
HeadofData&Engineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Head of Data & Engineering at Our client. Skills: Data architectures, pipelines, customer data systems, solution architecture, ingestion, warehousing, transformation, activation layers, engineering implementation, integrations, troubleshooting, event tracking, attribution, CDP architecture, reporting, AI-powered workflows, automation opportunities, technical discovery, scoping, solution planning, client engagements, technical pre-sales, solution proposals, distributed technical team leadership, ”
Industry & Context.
solving technical problems directly; troubleshooting; Comfortable operating in ambiguity
must overlap with Australian business hours, Must be able to work Australian client hours, APAC candidates strongly preferred due to timezone alignment
What They're Looking For.
Must Have
7–10 years in Data Engineering, Analytics Engineering, MarTech, or related fields, hands-on engineering background, Experience building and maintaining: Data pipelines / ETL workflows, CDPs and customer segmentation systems, Marketing automation ecosystems, Event tracking implementations, Attribution and analytics layers, communication and stakeholder management skills, Experience working directly with clients in consulting, agency, or multi-client environments, Comfortable operating in ambiguity and fast-paced environments, SQL, Python, Node. js, Cloud data platforms / modern data stack, dbt or similar transformation frameworks, CDPs and engagement platforms such as: Segment, Customer. io, HubSpot, Braze, Klaviyo
Nice to Have
Background in RevOps, MarOps, Growth, or Marketing Technology, Experience in startups, scale-ups, or consulting environments, interest in AI-enabled operational workflows and automation, Automation tooling (nice to have): n8n, Make, AI agents / workflow orchestration
What You'll Do.
Design and implement modern data architectures
and customer data systems
Own solution architecture across ingestion
and activation layers
Work hands-on with engineering implementation
Define standards for event tracking
Evaluate and implement AI-powered workflows and automation opportunities
Lead client engagements end-to-end
Shape the company’s technical direction across data engineering
customer data platforms
and marketing operations
How You'll Work.
Team & Collaboration
working closely with clients; leading distributed technical teams; Lead technical discovery, scoping, and solution planning with clients; Translate complex technical concepts into clear business language; Serve as a trusted advisor for both technical and non-technical stakeholders; Support technical pre-sales conversations and solution proposals; Lead and mentor a distributed technical team across multiple regions; Build reusable frameworks, documentation, and operational playbooks; Collaborative communicator across technical and business teams
Communication Scope
client-facing communication skills; communication and stakeholder management skills; Translate complex technical concepts into clear business language; Serve as a trusted advisor for both technical and non-technical stakeholders; Collaborative communicator across technical and business teams
Process & Methodology
Lead client engagements end-to-end, Lead technical discovery, scoping, and solution planning with clients, Establish scalable delivery processes and QA standards
Full Job Description
HEAD OF DATA & ENGINEERING (REMOTE – APAC HOURS) Location: Fully Remote (must overlap with Australian business hours) Compensation: ~AUD $150K fully inclusive Employment Type: Full-Time, Direct Hire Experience Level: 7–10 years preferred ABOUT THE COMPANY Our client is a fast-growing consultancy focused on building scalable growth systems through data, automation, AI, and marketing technology. They partner with ambitious companies to design and implement modern data infrastructure, customer lifecycle systems, and AI-enabled operational workflows. This is a highly hands-on leadership role for someone who enjoys solving technical problems directly, working closely with clients, and leading distributed technical teams in fast-moving environments. THE ROLE We’re looking for a Head of Data & Engineering who combines deep technical execution with strong client-facing communication skills. This is not a purely strategic or management-only role — you’ll be expected to actively contribute to architecture, implementation, troubleshooting, and delivery. You should be comfortable jumping into code, pipelines, CDPs, and automation workflows yourself when needed. You’ll lead client engagements end-to-end while helping shape the company’s technical direction across data engineering, AI-enabled delivery, customer data platforms, and marketing operations. WHAT YOU’LL BE DOING TECHNICAL LEADERSHIP & DELIVERY - Design and implement modern data architectures, pipelines, and customer data systems - Own solution architecture across ingestion, warehousing, transformation, and activation layers - Work hands-on with engineering implementation, integrations, and troubleshooting - Define standards for event tracking, attribution, CDP architecture, and reporting - Evaluate and implement AI-powered workflows and automation opportunities CLIENT ENGAGEMENT - Lead technical discovery, scoping, and solution planning with clients - Translate complex technical concepts into clear business language -
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