{"id":1242791,"url":"https://alion.io/job/nsearch-global-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3802187,"name":"Nsearch Global","domain":"nsearchglobal.com","url":"https://alion.io/company/nsearch-global","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","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":{"min":11000,"max":14000,"currency":"SGD","period":"month","gross":true,"usd_annual":131544},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-23T00:00:00Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Our client, one of Asia-Pacific’s leading organizations is looking for:\n\nSenior Data Engineer\n\nResponsibilities:\nDesign, build and operate scalable data architectures and pipelines for ingesting, transforming and serving data across diverse source systems and use cases.\nDevelop robust data models and reusable data capabilities for applications, analysts, data scientists and other data consumers.\nApply proven architectural and engineering practices to improve the reliability, security, observability, performance and maintainability of data systems.\nEvaluate technologies and architectural approaches, make sound technical trade-offs, and contribute to the evolution of the Data Programme's architecture and engineering standards.\nChampion modern software engineering practices (automated testing, code review, CI/CD, infrastructure-as-code), and help the team consistently meet these standards through review and coaching.\nWork cross-functionally with engineers, Product Managers, Data Scientists, analysts and users, while providing technical leadership through design reviews, mentoring and knowledge sharing.\nRequirements:\nStrong software engineering fundamentals and proficiency in Python and SQL, with hands-on experience building and operating complex production data systems.\nStrong experience in enterprise data architecture and engineering, with the ability to apply established patterns and practices to new technical problems.\nExperience designing data pipelines and data models, with a strong understanding of data warehouses, data lakes and lakehouse architectures.\nExperience with cloud platforms, preferably AWS, and modern data warehouse or data platforms such as Redshift, Snowflake, Databricks, BigQuery or equivalent.\nExperience with data orchestration, transformation and modelling using modern engineering approaches and tools.\nStrong understanding of production engineering practices including testing, CI/CD, monitoring, troubleshooting and data quality.\n-----------------------------------------------------------------------------------------------------------------------------------\nInterested applicants can also email CV at  (for faster processing, please state the exact job / position title applied “Senior Data Engineer\"\nOnly shortlisted candidates will be notified.\n-----------------------------------------------------------------------------------------------------------------------------------\nEA License Number: 10C3636\nEA Personnel Name: Chauhan, Asmita\nEA Personnel Registration Number: R1980706\nBy submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.\nSkills\nSnowflake Cloud Data Warehouse, Apache Spark, Data Modelling, Data Orchestration, Data Pipeline, AWS, Data Warehouse Architectures, Databricks, Data Engineering, SQL, Python, CI/CD, Snowflake Computing, Data Architecture, Power BI, Redshift, BigQuery","description_format":"text","description_chars":3365,"description_truncated":false,"requirements":{"experience_years_min":8,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:15:06Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":7,"expected_fill_days":42,"reasons":["seen:7","agency","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":131544,"is_top_pay":false},"html_url":"https://alion.io/job/nsearch-global-senior-data-engineer","json_url":"https://alion.io/job/nsearch-global-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T02:22:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1828,"day_limit":5000,"remaining_today":3172,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}