Data Engineer
Posted Updated 2
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Summary
Data Engineer at ABeam Analytics in Singapore who designs, builds, and supports enterprise data platforms, ETL/ELT pipelines, and AI-enabled analytics solutions on cloud platforms such as Microsoft Fabric, Databricks, Azure Data Factory, Power BI, and SAP data products. The role blends hands-on engineering with client workshops, solution consulting, and pre-sales work.
Overview
We are seekinga Data Engineer to design, develop, and support enterprise data platforms,cloud-native data architectures, analytics applications, and AI-enabledsolutions. The role combines hands-on data engineering, solution consulting,client engagement, and pre-sales activities to help organisations transformdata into meaningful business information and digital transformation outcomes. Key Responsibilities
. Design, develop, and maintain scalableenterprise data platforms, data warehouses, data marts, and cloud-native data architectures. . Build and optimise ETL/ELT pipelines,data-integration frameworks, and analytics-ready datasets from structured,semi-structured, and unstructured data sources. . Develop and implement techniques and analyticsapplications to transform raw data into meaningful information usingdata-oriented programming languages, cloud data platforms, and visualisationsoftware. . Apply data mining, data modelling, naturallanguage processing (NLP), machine learning fundamentals, and AI-enabledapproaches to extract and analyze information from large structured andunstructured datasets. . Design and implement data-processing frameworksthat support analytics, reporting, AI-enabled applications, and businessdecision-making. . Visualise, interpret, and report data findings,including the creation of dynamic data reports where required. . Implement data-quality controls, governanceprocesses, monitoring frameworks, performance optimisation, andproduction-support activities across enterprise data ecosystems. . Gather and analyse business and technicalrequirements through workshops, stakeholder-engagement sessions, andsolution-design discussions. . Collaborate with business and technicalstakeholders to translate requirements into scalable data, analytics, AI, anddigital-transformation solutions. . Prepare and deliver solution presentations,technical demonstrations, architecture walkthroughs, proof-of-concept reviews,and implementation recommendations for business and technical stakeholders. . Lead and participate in client workshops,architecture discussions, technology assessments, feasibility studies, andproof-of-concept initiatives. . Prepare solution proposals, RFP/RFQ responses,effort estimates, architecture recommendations, and supporting materials forpre-sales and business-development activities. . Partner with clients across public sector,government agencies, education, financial services, manufacturing, trading, andenterprise sectors to design and deliver data, analytics, AI, anddigital-transformation solutions. Technical Skills
. Data Engineering ETL/ELT Development DataIntegration Data Warehousing Data Mart Design Data Modelling . SQL Development Database PerformanceOptimisation Data Quality Management Data Governance . Analytics Applications Data Mining NaturalLanguage Processing Machine Learning Fundamentals Large Language Models . Microsoft Fabric OneLake Databricks AzureData Factory Power BI . SAP HANA SAP Business Data Cloud SAPDatasphere SAP Databricks SAP BTP SAP Joule Additional Advantages
. Experience with SAP data ecosystems, includingSAP HANA, SAP Business Data Cloud, SAP Datasphere, SAP Databricks, SAP Joule,SAP BTP, and SAP S/4HANA integrations. . Exposure to emerging technologies such asGenerative AI, Agentic AI, intelligent automation, Large Language Models, andblockchain-enabled business solutions. . Experience supporting public-sector andgovernment digital-transformation initiatives. . Experience providing PMO support, projectgovernance, stakeholder management, project planning, risk and issuemanagement, resource coordination, and status reporting across technologyimplementation programmes. Ideal Profile
. Strong foundation in data engineering, clouddata platforms, and enterprise analytics solutions. . Able to bridge data engineering, analytics, AI,and consulting responsibilities while maintaining a hands-on engineering focus. . Comfortable engaging clients, facilitatingworkshops, and presenting technical solutions to both business and technical stakeholders. . Experience across project delivery, solutiondesign, proof-of-concept development, and pre-sales activities. . Familiarity with SAP data ecosystems andemerging AI technologies is highly desirable.
We are seekinga Data Engineer to design, develop, and support enterprise data platforms,cloud-native data architectures, analytics applications, and AI-enabledsolutions. The role combines hands-on data engineering, solution consulting,client engagement, and pre-sales activities to help organisations transformdata into meaningful business information and digital transformation outcomes. Key Responsibilities
. Design, develop, and maintain scalableenterprise data platforms, data warehouses, data marts, and cloud-native data architectures. . Build and optimise ETL/ELT pipelines,data-integration frameworks, and analytics-ready datasets from structured,semi-structured, and unstructured data sources. . Develop and implement techniques and analyticsapplications to transform raw data into meaningful information usingdata-oriented programming languages, cloud data platforms, and visualisationsoftware. . Apply data mining, data modelling, naturallanguage processing (NLP), machine learning fundamentals, and AI-enabledapproaches to extract and analyze information from large structured andunstructured datasets. . Design and implement data-processing frameworksthat support analytics, reporting, AI-enabled applications, and businessdecision-making. . Visualise, interpret, and report data findings,including the creation of dynamic data reports where required. . Implement data-quality controls, governanceprocesses, monitoring frameworks, performance optimisation, andproduction-support activities across enterprise data ecosystems. . Gather and analyse business and technicalrequirements through workshops, stakeholder-engagement sessions, andsolution-design discussions. . Collaborate with business and technicalstakeholders to translate requirements into scalable data, analytics, AI, anddigital-transformation solutions. . Prepare and deliver solution presentations,technical demonstrations, architecture walkthroughs, proof-of-concept reviews,and implementation recommendations for business and technical stakeholders. . Lead and participate in client workshops,architecture discussions, technology assessments, feasibility studies, andproof-of-concept initiatives. . Prepare solution proposals, RFP/RFQ responses,effort estimates, architecture recommendations, and supporting materials forpre-sales and business-development activities. . Partner with clients across public sector,government agencies, education, financial services, manufacturing, trading, andenterprise sectors to design and deliver data, analytics, AI, anddigital-transformation solutions. Technical Skills
. Data Engineering ETL/ELT Development DataIntegration Data Warehousing Data Mart Design Data Modelling . SQL Development Database PerformanceOptimisation Data Quality Management Data Governance . Analytics Applications Data Mining NaturalLanguage Processing Machine Learning Fundamentals Large Language Models . Microsoft Fabric OneLake Databricks AzureData Factory Power BI . SAP HANA SAP Business Data Cloud SAPDatasphere SAP Databricks SAP BTP SAP Joule Additional Advantages
. Experience with SAP data ecosystems, includingSAP HANA, SAP Business Data Cloud, SAP Datasphere, SAP Databricks, SAP Joule,SAP BTP, and SAP S/4HANA integrations. . Exposure to emerging technologies such asGenerative AI, Agentic AI, intelligent automation, Large Language Models, andblockchain-enabled business solutions. . Experience supporting public-sector andgovernment digital-transformation initiatives. . Experience providing PMO support, projectgovernance, stakeholder management, project planning, risk and issuemanagement, resource coordination, and status reporting across technologyimplementation programmes. Ideal Profile
. Strong foundation in data engineering, clouddata platforms, and enterprise analytics solutions. . Able to bridge data engineering, analytics, AI,and consulting responsibilities while maintaining a hands-on engineering focus. . Comfortable engaging clients, facilitatingworkshops, and presenting technical solutions to both business and technical stakeholders. . Experience across project delivery, solutiondesign, proof-of-concept development, and pre-sales activities. . Familiarity with SAP data ecosystems andemerging AI technologies is highly desirable.
Skills
- Agentic AI
- AI
- Analytics
- Automation
- Business Development
- Cloud
- Cloud Native
- Data Engineering
- Data Governance
- Data Mining
- Data Modeling
- Data Quality
- Data Warehousing
- Databricks
- ELT
- ETL
- LLM
- Machine Learning
- Microsoft Fabric
- NLP
- Power BI
- Pre-sales
- Proof of Concept
- SAP
- Sap Hana
- SAP S/4HANA
- SQL
- Stakeholder Management