[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-engineer-rhb-bank-berhad-de-my":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":56,"processed_longitude":58,"processed_employment_types":60,"processed_working_hours":61,"processed_working_hours_labels":63,"processed_home_office":64,"processed_salary_min":53,"processed_salary_max":54,"processed_salary_currency":50,"processed_salary_source":65,"processed_benefits":66,"processed_benefits_labels":67,"processed_industry":68,"processed_skills":7,"processed_job_location":69,"processed_full_address_gmaps":71,"processed_street_gmaps":73,"processed_city_gmaps":74,"processed_postal_code_gmaps":75,"processed_country_gmaps":76,"processed_country_iso_code_gmaps":77,"full_description":16,"formatted_description":79,"processed_employment_types_labels":23,"processed_home_office_labels":21,"processed_industry_labels":25,"processed_it_skills":80,"processed_it_skills_labels":83,"processed_soft_skills":84,"processed_soft_skills_labels":85,"processed_job_expertise_skills":86,"processed_job_expertise_skills_labels":87,"processed_language_requirements":88,"processed_total_experience_years":81,"processed_professional_field":95,"processed_professional_field_labels":97,"processed_leadership_role":11,"processed_date_posted":19,"raw_job_url":98,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":99,"canonical_industry_label":100,"max_cpc":101,"actual_cpc":7},96413,"data-engineer-rhb-bank-berhad","Data Engineer",null,{"name":9,"slug":10,"logo_url":7},"RHB Bank Berhad","rhb-bank-berhad",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":19,"validThrough":20,"jobLocationType":21,"employmentType":22,"industry":24,"skills":26,"baseSalary":48},"https:\u002F\u002Fschema.org\u002F","JobPosting","Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases. Build and optimize data ingestion, transformation, and integration workflows across batch and near real-time processing environments. Develop and maintain automated ETL\u002FELT processes, workflow orchestration, and scheduling mechanisms to ensure reliable data delivery. Design and implement data cleansing, standardization, enrichment, and transformation processes to produce trusted and consumption-ready datasets. Collaborate with business, Analytics Insights, and technology teams to translate business requirements into reusable Data Products and data solutions. Implement and maintain data quality controls, validation rules, reconciliation processes, and exception handling mechanisms. Monitor and troubleshoot data pipelines, perform root cause analysis, and support production incident resolution. Maintain technical metadata, source-to-target mappings, data lineage, and technical documentation. Ensure data solutions comply with enterprise data governance, security, privacy, and regulatory requirements. Support system integration testing (SIT), user acceptance testing (UAT), deployment, and production implementation activities. Identify and drive opportunities for automation, optimization, scalability, and continuous improvement across data engineering processes. Work closely with Platform Engineering teams to ensure data solutions are operationally stable, performant, and scalable. A mantra for our clients, customers, partners and every member of the RHB family. Yes, you. Our employees are one of the reasons we are here today. Dynamic, forward-thinking and progressive, there is a reason why we are an award-winning financial institution. Join us today and be a part of a winning family. At RHB, we take pride in our people and our teams. Great relationships built on trust, a 'leading it right' environment, challenging assignments and a culture of excellence are the pillars to the dynamic and diversified workplace we call home. As we grow towards realising our aspirations, we promise a workplace built on the five pillars – RHB Cares; RHB Leads; RHB Inspires; RHB Progresses; and RHB Rewards.",{"@type":18,"name":9},"Organization","2026-10-01","2027-10-01","ONSITE",[23],"PERMANENT",[25],"Banking and Financial Services",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"Python","SQL","ETL\u002FELT Tools","Workflow Orchestration Tools","Data Pipeline Tools","Cloud Platforms","Collaboration","Communication","Problem Solving","Analytical Thinking","Attention to Detail","Data Pipeline Design","Data Integration","Data Quality Management","Data Governance","Data Modeling","Metadata Management","System Integration Testing","User Acceptance Testing","Root Cause Analysis","Process Automation",{"@type":49,"currency":50,"value":51},"MonetaryAmount","MYR",{"@type":52,"minValue":53,"maxValue":54,"unitText":55},"QuantitativeValue",60000,90000,"YEAR",[57],4.210484,[59],101.975766,"permanent",[62],"FULL_TIME",[62],"onsite","estimated",[],[],"banking and financial services",[70],"rhb, rhb centre - tower 1 level 8, malaysia",[72],"Malaysia",[],[],[],[72],[78],"MY","Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases.\n\n- Build and optimize data ingestion, transformation, and integration workflows across batch and near real-time processing environments.\n- Develop and maintain automated ETL\u002FELT processes, workflow orchestration, and scheduling mechanisms to ensure reliable data delivery.\n- Design and implement data cleansing, standardization, enrichment, and transformation processes to produce trusted and consumption-ready datasets.\n- Collaborate with business, Analytics Insights, and technology teams to translate business requirements into reusable Data Products and data solutions.\n- Implement and maintain data quality controls, validation rules, reconciliation processes, and exception handling mechanisms.\n- Monitor and troubleshoot data pipelines, perform root cause analysis, and support production incident resolution.\n- Maintain technical metadata, source-to-target mappings, data lineage, and technical documentation.\n- Ensure data solutions comply with enterprise data governance, security, privacy, and regulatory requirements.\n- Support system integration testing (SIT), user acceptance testing (UAT), deployment, and production implementation activities.\n- Identify and drive opportunities for automation, optimization, scalability, and continuous improvement across data engineering processes.\n- Work closely with Platform Engineering teams to ensure data solutions are operationally stable, performant, and scalable.\n\nA mantra for our clients, customers, partners and every member of the RHB family. Yes, you. Our employees are one of the reasons we are here today. Dynamic, forward-thinking and progressive, there is a reason why we are an award-winning financial institution. Join us today and be a part of a winning family.\n\nAt RHB, we take pride in our people and our teams. Great relationships built on trust, a 'leading it right' environment, challenging assignments and a culture of excellence are the pillars to the dynamic and diversified workplace we call home. As we grow towards realising our aspirations, we promise a workplace built on the five pillars – RHB Cares; RHB Leads; RHB Inspires; RHB Progresses; and RHB Rewards.",{"sql":81,"python":81,"etl\u002Felt tools":82,"cloud platforms":81,"data pipeline tools":82,"workflow orchestration tools":81},3,4,[27,28,29,30,31,32],{"collaboration":82,"communication":81,"problem solving":82,"analytical thinking":82,"attention to detail":82},[33,34,35,36,37],{"data modeling":81,"data governance":81,"data integration":82,"process automation":81,"metadata management":81,"root cause analysis":81,"data pipeline design":82,"data quality management":82,"user acceptance testing":81,"system integration testing":81},[38,39,40,41,42,43,44,45,46,47],{"detected_language_jobad":89,"required":90},"en",[91],[92],{"language":93,"level":94},"ENGLISH","C1",[96],"Database and Network Professionals",[96],"https:\u002F\u002Frhb.wd102.myworkdayjobs.com\u002Fen-us\u002Frhbexternalcareersite\u002Fjob\u002Fkuala-lumpur\u002Fdata-engineer_jr007413","banking","Banking",1]