{"id":33240,"url":"https://alion.io/job/ncs-gcp-data-engineer-google","title":"GCP Data Engineer (Google)","company":{"id":6612,"name":"NCS Australia","domain":"ncs.com.au","url":"https://alion.io/company/ncs","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brisbane, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":151000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","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":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"DNS","optional":true},{"name":"Python","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-30T23:25:47Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-18T12:12:35Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together.\nWe are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow.\n This role is responsible for building and scaling the massive, reliable data infrastructure that powers critical decisions, product features, and advanced analytics across our organization-impacting billions of users daily. As a Data Engineer, you will be a core architect and builder of our next-generation data pipelines, transforming raw, high-volume data into structured, actionable insights.\nYou will design, construct, implement, and rigorously manage end-to-end data processing systems, focusing on robustness, efficiency, security, and high throughput. Your challenge will be to translate complex, ambiguous business requirements from product managers and data scientists into scalable, fault-tolerant solutions using cutting-edge Google Cloud Platform (GCP) technologies. This includes deep involvement with services like BigQuery, Dataflow, Cloud Composer, and Pub/Sub.\nYour contributions will be instrumental in enabling data-driven optimization across areas such as product development, machine learning model training, and operational efficiency, making you a vital partner in Google's ongoing innovation. We're looking for an engineer ready to tackle petabyte-scale data challenges and champion data quality across the enterprise.\nResponsibilities\nDesign and Build: Develop, test, and maintain scalable data pipelines (ETL/ELT) using technologies like Dataflow (Apache Beam), Composer (Apache Airflow), and BigQuery.\nInfrastructure Management: Architect and optimize data models within BigQuery for performance and cost efficiency, supporting high-volume analytical workloads.\nCollaboration: Work closely with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security across all platforms.\nOperational Excellence: Monitor and troubleshoot production data systems, implementing best practices for continuous integration and deployment (CI/CD) of data pipelines.\nInnovation: Explore and recommend new data technologies and cloud services to enhance data architecture and governance.\n Responsibilities\nDesign and Build: Develop, test, and maintain scalable data pipelines (ETL/ELT) using technologies like Dataflow (Apache Beam), Composer (Apache Airflow), and BigQuery.\nInfrastructure Management: Architect and optimize data models within BigQuery for performance and cost efficiency, supporting high-volume analytical workloads.\nCollaboration: Work closely with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security across all platforms.\nOperational Excellence: Monitor and troubleshoot production data systems, implementing best practices for continuous integration and deployment (CI/CD) of data pipelines.\nInnovation: Explore and recommend new data technologies and cloud services to enhance data architecture and governance.\n Strong background and experience in Google (GCP) along with a background as a Data Engineer.\nExperience with real-time streaming data processing using technologies like Pub/Sub and Dataflow Streaming.\nFamiliarity with containerization and orchestration tools (e.g., Docker, Kubernetes).\nExperience with version control systems (e.g., Git).\nDeep understanding of DataOps principles and automated testing for data quality.\nGCP Professional Data Engineer Certification is a plus.\nAdditional information\nPrevious experience in a similar role as a Cloud Engineer developing, implementing or managing secure Google Cloud solutions at an enterprise level \nPrevious hands on Google Cloud experience \nPrevious experience of working on Federal Government projects\nPrevious experience building infrastructure as code with Terraform at an advanced level\nAbility to script in at least one of the following languages: Python, Bash\nApplied knowledge of CI/CD concepts and deployment of platform solutions\nSolutions experience leveraging GCP-based core services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.\nBe well-versed in networking concepts, including virtual private clouds (VPCs), subnets, load balancing, firewalls, and DNS\nExperience designing secure and scalable network architectures on Google Cloud\nSecurity-focused with a deep understanding of cloud security principles, threats, and mitigation techniques\nHold one more of the following Professional Level Google Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Google Cloud certifications\nWhy join us:\nNCS Australia is where you can feel at home, nurturing your talents and skills as we make tomorrow together, one day at a time. Our benefits include paid parental leave, initiatives focused on your well-being and discounted health insurance. You will also enjoy discounts on various products and services and be regularly recognised and rewarded for high performance. We are committed to your career development through our Capability Fingerprint, industry and partner training programs, special interest groups, and an AI-driven learning platform. No matter where you are in your career, we offer meaningful work and opportunities for growth.\nNCS Australia is an equal-opportunity employer, and we take pride in our commitment to valuing and supporting our people and the communities we serve.We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Veterans, Aboriginal and/or Torres Strait Islander community.\nAt NCS Australia, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply.\nAgencies:\nWe’ve got this. We request that you do not contact NCS employees outside of the Talent Acquisition team. NCS exclusively accepts resumes from agencies on our preferred supplier panel through the NCS Agency Portal. Agencies that submit resumes must have a valid fee agreement and be assigned to the particular requisition by the Talent Acquisition team. Any resumes that are submitted outside of this process will become the sole property of NCS. If a candidate is hired outside of this process, no fee or payment will be given.\nWork rights and background checks:\nTo be eligible for a position with us, applicants will need to have valid work rights for Australia and be willing to undergo a comprehensive background checking process, including probity and police checks","description_format":"text","description_chars":7221,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Health insurance","Parental leave"],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed Security","IT Consulting & Digital Transformation","Managed IT Services (MSP)","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-07-30T23:25:47Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.234,"p_room":0.28,"age_days":78,"expected_fill_days":28,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ncs-gcp-data-engineer-google","json_url":"https://alion.io/job/ncs-gcp-data-engineer-google.json","meta":{"generated_at":"2026-10-18T13:36:36Z","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":20133,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":6612},"rest":"https://alion.io/mcp/rest/get_company?id=6612"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fncs-gcp-data-engineer-google"},{"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%2Fncs-gcp-data-engineer-google"},{"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%2Fncs-gcp-data-engineer-google"},{"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/ncs-gcp-data-engineer-google\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fncs-gcp-data-engineer-google"}]}