{"id":2496953,"url":"https://alion.io/job/ntt-data-engineer-2","title":"Data Engineer","company":{"id":121,"name":"NTT","domain":"global.ntt","url":"https://alion.io/company/ntt","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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","Sydney, Australia","Brisbane, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":198000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Copilot Studio","optional":true},{"name":"Fabric AI","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-14T04:57:58Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T19:10:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Make an impact with NTT DATA\nJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.\nWe are seeking an experienced Data Engineer to join our Data & AI practice. You will design, build and optimize modern cloud data platforms, enabling organizations to unlock value from data through scalable analytics, reporting and AI solutions.\nWorking with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies.\nKey Responsibilities\nDesign and develop scalable data pipelines and ELT/ETL processes.\nBuild and maintain data platforms using Microsoft Fabric and Azure services.\nDevelop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric.\nImplement data integration solutions across cloud and on-premises data sources.\nDesign and optimize data models to support analytics, reporting and AI initiatives.\nDevelop and maintain data transformation processes using SQL, Spark and Python.\nImplement data quality, governance and security controls.\nMonitor and optimize platform performance, reliability and cost efficiency.\nCollaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes.\nSupport CI/CD implementation and automated deployment practices.\nSkills & Experience\nEssential\n5+ years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development.\nStrong experience with Microsoft Azure data services including: Azure Data Factory\nAzure Data Lake Storage\nAzure Synapse Analytics\nAzure SQL\nAzure Databricks\nAzure DevOps\n\nHands-on experience with Microsoft Fabric including: Data Factory\nLakehouse\nWarehouse\nOneLake\nPower BI\nNotebooks\n\nStrong SQL development and data modelling skills.\nExperience developing data pipelines using Python and/or PySpark.\nUnderstanding of data warehousing concepts including star and snowflake schemas.\nExperience working within Agile delivery environments.\nStrong stakeholder engagement and problem-solving skills.\nDesirable\nExperience with Snowflake data platforms.\nExperience with Databricks Lakehouse architecture.\nExperience implementing data governance solutions such as Microsoft Purview\nExposure to real-time or streaming data architectures.\nExperience working in consulting or professional services environments.\nAI & Emerging Technologies (Advantageous)\nExperience integrating AI and Generative AI capabilities into data platforms.\nKnowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities.\nExperience supporting data foundations for machine learning or AI workloads.\nUnderstanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures.\nQualifications\nMicrosoft Azure certifications highly regarded, such as: Azure Data Engineer Associate (DP-203)\nFabric Analytics Engineer Associate (DP-600)\nAzure Fundamentals (AZ-900)\n\nWorkplace type:\nAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.","description_format":"text","description_chars":5041,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Data Centers & Colocation","Mobile Networks","IT Consulting & Digital Transformation","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-14T04:57:58Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":10,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-engineer-2","json_url":"https://alion.io/job/ntt-data-engineer-2.json","meta":{"generated_at":"2026-10-15T00:41:57Z","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":768,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":121},"rest":"https://alion.io/mcp/rest/get_company?id=121"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-engineer-2"},{"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%2Fntt-data-engineer-2"},{"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%2Fntt-data-engineer-2"},{"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/ntt-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-engineer-2"}]}