{"id":933148,"url":"https://alion.io/job/ncs-eg-data-engineer","title":"#EG Data Engineer","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":366,"ghost_share":0.298,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-03T05:54:40Z"}},"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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":114000,"period":"year","method":"role_country_seniority_unknown","sample_n":108},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ABAP","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-15T06:11:06Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-03T22:36:14Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":48},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n As a Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring high-quality data processing for analytics, reporting, and machine learning tasks. The role involves collaborating with analytics, product, and infrastructure leaders to advance the company’s data and analytics platform, while ensuring data governance, monitoring, and reliability standards are met.\nWhat will you do?\nDevelop and maintain ETL pipelines for centralized data storage systems\nIntegrate data from databases, APIs, log files, streaming platforms, and external providers\nDevelop data transformation routines to clean, normalize, and aggregate data\nApply data processing techniques to handle complex or inconsistent datasets\nContribute to frameworks and best practices for code development and deployment\nImplement data governance in alignment with company standards\nPartner with analytics and product leaders to design and operationalize pipelines\nCollaborate with infrastructure leaders to advance cloud-based data platforms\nExplore new tools and techniques leveraging Azure, Databricks, or related platforms\nMonitor data pipelines to detect and resolve issues promptly\nDevelop monitoring tools, alerts, and automated error-handling mechanisms\nThe ideal candidate should possess:\nEssential Qualifications\nThe position is open to wide range of data engineering experience level including fresh graduate\nGood experience designing data solutions including data modeling\nHands-on experience with data processing jobs using Talend, PySpark and SQL\nExperience orchestrating data pipelines with Talend, ADF, Airflow, or similar tools\nExperience with both batch and real-time data processing\nProficiency in SQL including advanced features, with exposure to more than one data systems, such as SQL DB, Cloudera\nUnderstanding of DevOps tools, Git workflows, CI/CD or MLOps pipelines\nPreferred Attributes\nDomain knowledge of defense logistics, including its organisation and processes\nExperience and ability to apply Scrum practices in a practical project context\nGood knowledge of SAP system functionally with prior experience of working on ABAP code\nStrong problem-solving and collaborative mindset\nSome knowledge and experience of using Qlik for BI development\nPreferred Professional and/or Technical Certifications\nTalend Data Integration Certified Developer\nTalend Big Data Certified Developer\nADDITIONS\nExperience with streaming technologies such as Apache Kafka, Apache Flink, or AWS Kinesis\nAbility to design and implement real-time data processing pipeline\n Why Join NCS\nLead high-impact AI management consulting programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg/ @ncs.co and beware of extra letters, symbols or misspellings. 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