{"id":715141,"url":"https://alion.io/job/kogan-com-data-engineer","title":"Data Engineer","company":{"id":49867,"name":"Kogan.com","domain":"kogan.com","url":"https://alion.io/company/kogan-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.267,"repost_share":0,"time_to_fill_p50_days":122,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":146000,"period":"year","method":"role_country_seniority_unknown","sample_n":12},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Trunk-Based Development","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"LLM","optional":true},{"name":"Looker","optional":true},{"name":"Tableau","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2025-10-06T02:54:50Z","employer_posted_date":"2025-10-06","last_verified_at":"2026-10-31T11:39:52Z","board_verified":true,"closed_at":null,"days_open":390,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":390},"description":"Kogan.com is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work.\nAs a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions.\nWhat you'll do:\nScalable Pipeline Development: Design and maintain ETL/ELT pipelines capable of handling 10M+ daily events and large-scale data transfers across our platforms.\n\nData Modeling: Develop and optimize data models in environments like BigQuery or Snowflake to ensure high performance for both analytics and ML training sets with optimal cost\n\nSupport ML Workflows: Build the underlying features and data inputs required for Machine Learning models\n\nDevelop and refine ML models for practical business use cases, such as customer sentiment, churn prediction or demand forecasting\n\nMLOps Integration: Establish and maintain MLOps pipelines to help automate the deployment and monitoring of models in production.\n\nSystem Integration: Work with internal APIs and third-party tools to ingest data efficiently while maintaining strict data integrity.\n\nGovernance & Quality: Implement best practices for data quality, security, and documentation to ensure our data remains a \"source of truth.\"\n\nDevelopment according to software engineering best practices (Git, CI/CD, trunk based development, tests)\n\nAI Collaboration: Contribute to experiments with AI and LLMs to assess how they can be practically applied to solve business problems.\n\nWhat you'll need:\nStrong SQL Foundations: Solid experience writing and optimizing SQL for commercial-scale products (e.g., handling millions of rows and complex joins efficiently).\n\nPipeline Orchestration: Proven experience using tools like Airflow, dbt, or AWS Glue to manage and monitor production-grade data workflows.\n\nPython Proficiency: Strong Python skills for data transformation, scripting and interacting with various data sources.\n\nML Engineering Exposure: Practical experience building the data infrastructure that supports machine learning, including data preprocessing and model deployment pipelines. Experience with machine learning models development\n\nCloud Experience: Hands-on experience with cloud data platforms, with a strong preference for GCP.\n\nSoftware Best Practices: Familiarity with Git, CI/CD, and basic containerization (Docker) to ensure code quality and deployment reliability.\n\nProblem-Solving Mindset: A practical approach to engineering that balances the need for speed with long-term system stability.\n\nBonus Points\nExperience with event streaming (e.g., Kafka, Kinesis) for real-time data needs.\n\nExposure to ML platforms and tools such as SageMaker, Vertex AI, or Databricks.\n\nFamiliarity with BI and visualization tools like Looker or Tableau.\n\nAn interest in eCommerce dynamics and customer behavior analytics.\n\nWhy Kogan.com?\nAI-Native Engineering: AI is deeply embedded in how our Engineering teams build and operate. We’re moving beyond standalone LLM use into agentic workflows, AI-assisted development and automation integrated into real engineering systems and processes. Engineers have access to leading AI tools, hands-on training and the freedom to experiment with new ways of designing, building and shipping software.\nOur culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com.\nWork with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future.\nYour role has a lot of ownership, autonomy and little red tape. You'll be empowered to achieve positive outcomes and your work will have a real impact.\nYou'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.\nBe an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.\nLearning budget of $1000.\nA range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more!","description_format":"text","description_chars":4525,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms"],"lifecycle":[{"event":"open","at":"2026-09-11T05:44:26Z"},{"event":"close","at":"2026-10-22T04:39:38Z"},{"event":"reopen","at":"2026-10-30T02:30:33Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.347,"p_room":0.28,"age_days":390,"expected_fill_days":122,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/kogan-com-data-engineer","json_url":"https://alion.io/job/kogan-com-data-engineer.json","meta":{"generated_at":"2026-10-31T12:41:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":49867},"rest":"https://alion.io/mcp/rest/get_company?id=49867"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkogan-com-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkogan-com-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkogan-com-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kogan-com-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkogan-com-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":715141}},{"tool":"search_jobs","arguments":{"company":"kogan.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":715141},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}