Data Engineer

Humanforce is a leading human capital management (HCM) suite provider specialized in workforce management, HR, talent, payroll, and wellbeing for frontline and flexible workforces. Work options Hybrid – a mix of onsite and remote work, with a minimum of three days per week in the office. Flexibility is tailored to individual and team needs to empower career and personal goals. Who are we? Humanforce’s vision is to make work easier and life better for frontline and flexible workforces. Our employee‑centered, intelligent, and compliant HCM suite is highly integrated and composable, consisting of Workforce Management (WFM), HR, Talent, Payroll, and Wellbeing. Founded in 2002, we have over 2,300 customers and almost one million employees in more than 30 countries, across industries such as aged, child and health care; education; hospitality; retail; local government and more. Offices exist in Australia, New Zealand, United Kingdom, North America, and the Philippines. Customers choose Humanforce because we enable them to deliver an exceptional employee experience, build a compelling employee value proposition, and connect the flow of the world’s talent with growth, productivity and efficiency objectives of frontline and flexible workforces. Who You Are Help build and run the data infrastructure for our real‑time, customer‑facing analytics platform. Focus on reliable and performant CDC ingestion, transformation, governance, and operational excellence so our analysts can publish high‑quality analytics within our analytics platform. Partner closely with our Senior Data Engineer; work across Stack: Streamkap, dbt Core, ClickHouse, AWS; continually improve and extend the data platform. Collaborate with a cross‑functional squad (Data Analyst, DBA, Software Engineers). If you’re a driven, self‑motivated problem solver who enjoys shaping an evolving architecture, is comfortable with ambiguous problem spaces, and takes pride in innovative yet pragmatic solutions, you’ll have clear ownership and impact on a critical, customer‑visible product suite. What You Will Do Build and maintain reliable data pipelines that ingest CDC streams via Streamkap and batch data into ClickHouse, transforming with dbt Core. Implement the orchestrator to schedule, monitor, and recover pipelines. Enhance ELT performance and stability, and troubleshoot issues across staging and production environments. Implement and uphold data governance practices: testing, documentation, and service levels (freshness/completeness SLIs/SLOs) with lineage. Operate and observe pipelines using AWS services. Collaborate with the cross‑functional team to deliver trustworthy datasets consumed in ThoughtSpot. Ensure integrity, reliability, and security of the data‑engineering architecture. Our Stack Warehouse: ClickHouse Ingestion/CDC: Streamkap Transformations: dbt Core Cloud: AWS (S3, Lambda, ECS, EventBridge) Infra/CI: Terraform, GitHub Actions What You’ll Need 3+ years of hands‑on data engineering. Strong SQL and Python (non‑negotiable). Experience building and maintaining Cloud Data Warehouse infrastructure (ideally ClickHouse or a background in Snowflake/BigQuery/Redshift and a willingness to learn ClickHouse). Experience building and operating production data pipelines (e.g., with dbt Core). Practical experience with AWS and Dockerised workloads. Understanding of modern ELT practices, testing, and documentation. Direct experience using AI tools in day‑to‑day work, or a strong openness and eagerness to learn how to apply them. Some ‘nice to have’ Experience with CDC+Kafka based ingestion tools (such as Streamkap) for near‑real‑time ingestion. Terraform and infrastructure‑as‑code workflows. CI/CD workflows with GitHub Actions. Security‑mindful habits (IAM, tenancy isolation, PII handling). Agile delivery experience (Jira) and code review via GitHub PRs. Our values We are bold. We are all in. We are customer obsessed. We do what we say. We are good humans. Our approach to flexibility We are passionate about people making their own decisions about where and when they work. Our hybrid model of minimum three days a week in office supports flexibility tailored to individual and team needs, empowering people to achieve their career and personal goals. Benefits A truly flexible workplace through our approach. The opportunity to be part of a fast‑growing global tech company. A focus on learning and development through Humanforce HR. A generous talent referral program – find great people and be rewarded. 12 weeks paid parental leave for primary careers, 4 weeks for secondary. 4 extra days leave to focus on your wellbeing. Contemporary and practical Employee Assistance Program. A cool reward and recognition program – shout to your colleagues and earn points to spend. 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. Fun, collaborative culture with passionate people. 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. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Software Development #J-18808-Ljbffr