Work options: Hybrid
We are passionate about people making their own decisions about where and when they work. Our aim is to facilitate hybrid working (mix of in the office and from home) where possible to support our people to be effective, empowered, and productive to achieve both their career and personal goals. Because we recognise that working flexibly means different things to different people, flexible working exists in many forms.
Humanforce’s vision is to make work easier and life better for frontline and flexible workforces.
Humanforce provides the market-leading, all-in-one human capital management (HCM) suite for frontline and flexible workforces, without compromise. Our employee-centered, intelligent, and compliant HCM suite is highly integrated and composable, consisting of Workforce Management (WFM), HR, Talent, Payroll, and Wellbeing.
At Humanforce, we’re not experimenting at the edges of AI, we’re redesigning the core of how we operate. We see AI as a fundamental shift, not an incremental improvement, and we’re deliberately moving toward becoming an AI-native organisation.
That means rethinking how work gets done end-to-end, how we build our products, make decisions, serve customers, and scale impact. We’re not layering AI onto old ways of working, we’re redefining and reimagining our processes, tools, and team structures to take full advantage of what AI makes possible.
This is a moment of real change. We’re moving fast, learning in real time, and challenging assumptions about roles, workflows, and productivity. If you’re motivated by transformation, not optimisation, and want to help shape how a global tech company operates in an AI-first future, Humanforce is the place to do it.
As a Senior Data Engineer, You'll have full ownership of our infrastructure and deployment architecture, from ClickHouse cluster administration through to IaC and CI/CD. You'll set the technical direction for the data engineering function and partner with our Data Engineer, Data Analyst, DBA, Software Engineers, and Product to deliver a reliable, scalable, and observable platform. The bulk of your ownership sits on the infrastructure and platform layer, though strong dbt and analytics engineering instincts will accelerate your impact.
This isn't a typical data engineering role. The platform is customer-facing, data and infrastructure you build and secure is consumed directly by end users across a multi-tenanted SaaS product, where performance and security are non-negotiable.
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Own end-to-end data infrastructure: Terraform provisioning, AWS architecture, and all ClickHouse cluster administration (replication, sharding, performance tuning, schema governance).
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Lead the design and implementation of multi-tenant row-level security within ClickHouse, coordinating with the application layer.
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Own and evolve the CI/CD architecture for infrastructure and transformation pipelines (GitHub Actions).
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Architect and manage CDC ingestion via Streamkap, connector configuration, reliability, and failure recovery.
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Lead ingestion of new transactional database sources into the platform.
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Define and maintain platform observability standards: pipeline SLIs/SLOs, alerting, and operational runbooks.
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Lead technical design briefs and architecture decisions for the data engineering function.
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Provide technical mentorship to the Data Engineer, code review, design guidance, and raising the bar on engineering practices.
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Collaborate with Software Engineers, DBAs, Data Analysts, and Product on platform and data model decisions.
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Contribute to dbt Core architecture and ClickHouse query optimisation; drive analytics engineering patterns where appropriate.
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5+ years of hands-on data engineering experience.
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Strong SQL and Python experience
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Production Terraform and IaC ownership.
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CI/CD pipeline ownership with GitHub Actions or equivalent.
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Proven AWS cloud architecture in a data engineering context.
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Deep experience administering a columnar cloud data warehouse, ideally ClickHouse, or Snowflake/BigQuery/Redshift with a clear appetite to own ClickHouse end-to-end.
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Experience with CDC-based ingestion (Streamkap, Debezium, Kafka Connect, or similar).
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Demonstrated security instincts in multi-tenant environments: row-level security, IAM, tenancy isolation, PII handling.
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Architecture and review experience with production dbt Core pipelines.
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Analytics engineering experience: semantic modelling, metrics layer, or similar.
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Comfortable reading and reviewing application-layer code, able to collaborate with backend engineers.
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Experience designing observability frameworks (SLIs/SLOs, alerting, on-call practices).
- We are bold
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We are all in
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We are customer obsessed
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We do what we say
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We are good humans
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A truly flexible workplace through our Flex@HF approach
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The opportunity to be part of a fast-growing global tech company
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A focus on learning and development through Humanforce HR
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A generous talent referral program – know great people, be rewarded
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12 weeks paid parental leave for primary careers, 4 weeks for secondary
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4 extra days leave to focus on your wellbeing
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Contemporary and practical Employee Assistance Program
- A cool reward and recognition program – shout to your colleagues and earn points to spend
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Access to our own financial wellbeing platform Thrive – including earned wage access, tools to budget and save, perks and cashback across 100s of Australian retailers
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Fun, collaborative culture with passionate people
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A workplace where you can genuinely improve the world of work!
We are a diverse and dispersed organisation and are actively looking to grow our team with individuals from all diverse backgrounds. We encourage applicants from all backgrounds, cultures, ages, genders, neurodiversity, religions, sexual orientations, and experiences to apply.
