{"id":1253506,"url":"https://alion.io/job/ocbc-data-engineer-avp","title":"Data Engineer (AVP)","company":{"id":4187,"name":"OCBC Bank","domain":"ocbc.com","url":"https://alion.io/company/ocbc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":122,"ghost_share":0,"stale_share":0.779,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","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":61000,"max_usd":147000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":91},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fivetran","optional":false},{"name":"Flask","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"ETL/ELT","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-15T20:04:51Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"WHO WE ARE:\nAs Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.\nToday, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.\nWe invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.\nYour Opportunity Starts Here.\nWHO WE ARE\nAs Singapore’s longest-established bank, OCBC has supported individuals and businesses in achieving their aspirations since 1932. We are transforming into a future-ready learning organization - leveraging technology and innovation while staying true to our ambition to be Asia’s leading financial services partner for a sustainable future.\nJoin us to build the bank of the future, work in collaborative teams, and create lasting value for our customers and communities.\nROLE\nWe are seeking a Data Engineer (AVP) to build, maintain, and continuously improve data pipelines that power enterprise-grade data warehouse, AI knowledge base within a banking environment. Working closely with senior engineers and the head of data engineering, you will help transform structured and unstructured data into reliable, reusable datasets and services that support use cases such as risk management, customer engagement, fraud detection, and intelligent automation. This is a hands-on engineering role with strong opportunities to grow into streaming, real-time, and AI-driven data product work.\nThis role reports to VP/ED, Data Engineering, Group data office.\nKEY RESPONSIBILITIES\nBatch & Streaming Data Pipeline Development\nBuild and maintain data pipelines feeding data warehouse / lakehouse platforms (e.g., Cloudera, AWS Redshift or GCP BigQuery)\n\nImplement data models to support reusable analytical datasets and reporting foundations\n\nFollow established SLAs and monitoring practices, and help troubleshoot pipeline issues\n\nDevelop and maintain batch data processing jobs using Spark, SQL, Python or Java\n\nSupport and contribute to real-time streaming pipelines using Flink or similar tools, under senior guidance\n\nAssist in building and operating CDC pipelines (e.g., Debezium, Confluent or Fivetran)\n\nBuild and maintain ingestion pipelines from APIs, GA4, and other data sources\n\nImplement messaging/streaming integrations using Pub/Sub and Kafka\n\nWrite clean, well-tested SQL and Python scripts and data ingestion and processing pipelines\n\nOrchestration & Automation\nDevelop and maintain Airflow DAGs for scheduled and event-driven workflows\n\nFollow orchestration best practices established by senior engineers\n\nCloud Infrastructure & DevOps\nDeploy and support data workloads on Cloudera, GCP (Docker, Kubernetes, Cloud Run), AWS equivalent\n\nContribute to and maintain CI/CD pipelines\n\nUse Terraform to provision and manage infrastructure under senior guidance\n\nBuild and support REST APIs and backend services using Python / Flask\n\nUse Redis caching to meet performance requirements for data services\n\nAI Knowledge Base & RAG Support\nAssist in building and maintaining vector database pipelines and embedding generation jobs under senior guidance\n\nSupport to deliver processing and chunking workflows that feed AI knowledge bases and RAG pipelines\n\nBuild, test and monitor semantic search / retrieval quality for AI-facing data layers\n\nCross-functional Collaboration\nWork closely with senior data engineers, AI teams, and business stakeholders (Risk, Marketing, Operations)\n\nHelp translate business requirements into technical implementation tasks\n\nParticipate in code reviews and contribute to a culture of continuous improvement\n\nREQUIREMENTS\nDiploma, Bachelor’s or Master’s degree in computer science or a related field\n\nAt least 5 years of experience in data engineering, data platforms, or related roles.\n\nSolid hands-on experience in build data pipelines on modern data architectures including Data Warehouse, Lakehouse, and batch/real-time data processing systems.\n\nWorking AI knowledge base concepts: vector databases, embeddings, and semantic search is a plus\n\nHands-on RAG pipeline components such as document chunking, embedding generation, and retrieval is a plus\n\nGood experience on building data layers that support LLM / AI agent use cases is a plus.\n\nExperience in banking or financial services is a plus\n\nTechnical Stack\nData Warehouse / Platform: exposure to Cloudera, BigQuery, Redshift, or similar\n\nBatch Processing: Spark, SQL, ETL, Python, Map/Reduce\n\nStreaming: familiarity with Flink or other real-time processing engines (Good to have)\n\nCDC: exposure to Debezium, Confluent, Fivetran, or similar (Good to have)\n\nData Ingestion: APIs, GA4, Pub/Sub, Kafka, Python pipelines\n\nOrchestration: Airflow or equivalents\n\nCloud & Infrastructure: GCP or AWS; basic Docker/Kubernetes/Cloud Run experience\n\nDevOps / DataOps: exposure to CI/CD pipelines and Terraform\n\nBackend & Serving: Python, Flask, REST APIs; familiarity with Redis a plus\n\nAdditional Preferred Experience\nEagerness to learn real-time / streaming architectures and low-latency system design\n\nBasic exposure to LLM applications, RAG, or AI agent concepts is a plus, not required\n\nGood product mindset and willingness to treat data as a product, not just a project\n\nStrong communication skills and comfort collaborating with both technical and business stakeholders\n\nWHAT WE OFFER\nCompetitive base salary and comprehensive benefits.\n\nStrong learning and development opportunities.\n\nExposure to impactful, enterprise-scale Data and AI initiatives across the OCBC Group.\n\nA collaborative environment that values innovation, craftsmanship, and continuous improvement.\n\nYour wellbeing, growth, and aspirations matter to us as much as delivering value to our customers.\nWhat we offer:\nCompetitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.","description_format":"text","description_chars":6608,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors"],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:02Z"}],"visa":[],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.562,"p_room":0.75,"age_days":39,"expected_fill_days":45,"reasons":["conf:33","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ocbc-data-engineer-avp","json_url":"https://alion.io/job/ocbc-data-engineer-avp.json","meta":{"generated_at":"2026-10-17T05:58:09Z","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":8179,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":4187},"rest":"https://alion.io/mcp/rest/get_company?id=4187"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Focbc-data-engineer-avp"},{"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%2Focbc-data-engineer-avp"},{"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%2Focbc-data-engineer-avp"},{"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/ocbc-data-engineer-avp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Focbc-data-engineer-avp"}]}