Total 271 job vacancies by Digital

Job Opportunity: Permanent Role 100% On-Site from Monday to Friday

Role Overview:

The Project Coordinator plays a critical role in supporting the successful delivery of ERP implementation projects. Working closely with the Lead Functional Consultant, Project Managers, and clients, you will ensure that all project activities are well-coordinated, documented, and executed on schedule. This role focuses on maintaining operational efficiency across multiple workstreams managing timelines, tracking deliverables, and facilitating clear communication between stakeholders. It is ideal for a highly organized and detail-oriented individual who thrives in a fast-paced, structured project environment.

Key Responsibilities:
Project Coordination & Suppor

• Assist in the end-to-end coordination of ERP implementations, change requests, and support engagements
• Support project managers and consultants in ensuring smooth project execution

Schedule & Resource Tracking

• Maintain and update project plans, timelines, and resource allocations
• Proactively follow up with team members to ensure timely completion of tasks

Documentation & Reporting

• Prepare and distribute project status reports, meeting minutes, and action logs
• Maintain a centralized, accurate, and audit-ready project repository

Progress Monitoring & Risk Escalation

• Track project milestones, deliverables, and dependencies
• Identify potential risks, delays, or blockers and escalate them appropriately

Stakeholder Coordination

• Act as a coordination point between internal teams, clients, vendors, and subcontractors
• Organize and schedule meetings, workshops, and User Acceptance Testing (UAT) sessions

Administrative & Governance Support

• Manage project-related administrative tasks, including documentation and reporting
• Assist in tracking project progress against scope, timelines, and budgets
• Support preparation of internal and client-facing management reports

Key Requirements

• Diploma in Computer Engineering, Computer Science, Information Technology, or a related discipline
• 1-3 years of experience in project coordination, project administration, or IT support
• Basic understanding of ERP domains (e.g., Finance, Purchasing, Sales, Inventory)
• Proficiency in Microsoft Office applications, particularly Excel and PowerPoint
• Familiarity with project management or tracking tools (e.g., Jira, MS Project, Asana)
• Strong organizational and multitasking abilities with attention to detail
• Ability to work under pressure and manage competing priorities effectively

Preferred Qualifications

• Experience supporting ERP implementations (e.g., Epicor or SAP)
• Certification in project management (e.g., CAPM or equivalent)
• Ability to understand and translate technical concepts for business stakeholders
• Strong communication and interpersonal skills

Job Summary

The Credit Administration Officer is responsible for providing comprehensive administrative and operational support in the processing and management of credit facilities. This role ensures that all credit documentation, approvals, and disbursements are executed accurately and in compliance with internal policies, regulatory requirements, and risk control standards

Key Responsibilities

• Prepare Facility, Letters, loan agreements, and security documentation in accordance with the approved credit terms and Bank’s policies

• Ensure all pre-disbursement conditions are fulfilled and documentation complies with approval terms before credit facilities implementation

• Liaise with Business Units, Relationship Managers, and external parties(Legal counsel, Valuers, and Insurers on documentation, execution, and any credit related matters

• Implement and maintain credit facility limits in the system with high accuracy

• Maintain proper records of credit documentation and ensure completeness of transaction files

• Dissemination post loan credit monitoring reports and other credit related reports to Business Units and Credit Risk teams

• Perform periodic risk control self-assessments andensure adherence to internal controls, policies, and regulatory requirements

Requirements

• Degree or Diploma in Finance , Banking , Business Administration ,or a related field

• Minimum 3years of relevant experience in Credit Admin and Legal Documentation review within a commercial or corporate banking environment.

• Functional knowledge of property financing, trade finance &/or treasury products is an advantage

• Strong attention to detail with a risk and control mindset

• Proactive with good interpersonal and communication skills

• Responsible, meticulous, and able to work effectively under pressure ina team environment

• Proficient in Microsoft Office applications (Word, Excel, PowerPoint)

Role Summary:

We are seeking a hands-on Data Engineer to spearhead our Databricks Proof of Concept (POC) on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform. Working across diverse AWS and external data sources, you will build a unified, production-ready Databricks environment that validates the platform for broader adoption.

Key Responsibilities:

Platform & Infrastructure Setup

• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Design and implement a scalable Medallion Architecture using Delta Lake (Bronze / Silver /Gold layers).
• Build automated ingestion pipelines leveraging Databricks Autoloader.

Data Engineering

• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Optimize Spark jobs for performance, reliability, and cost-efficiency.
• Connect diverse AWS and external data sources into a unified Databricks environment.

Governance &Evaluation

• Establish data governance standards using Unity Catalog. (Good to have — not a hard requirement for the POC.)
• Configure Databricks Clusters with Autoscaling and Spot Instances to manage AWS spend.
• Define and evaluate POC success metrics covering performance, cost, and ease of use.
• Set up an end-to-end pipeline (Source → S3 → Databricks → BI Tool) within agreed timelines.

Qualifications and Experience:

Must-Have Skills

• Databricks Mastery — Expert knowledge of Delta Lake and Medallion Architecture (Bronze /Silver / Gold).
• PySpark / Spark SQL — Ability to write and optimize Spark code; Python strongly preferred over Scala or R.
• AWS Infrastructure — Deep understanding of S3 (bucket policies, storage), IAM(roles and policies) for secure Databricks access.
• Data Ingestion —Hands-on experience with Databricks Autoloader or Unity Catalog for managed data governance.
• 3–5+ years of professional experience in Data Engineering with PySpark / SQL.

Good to Have

• Networking — VPC configuration and AWS networking concepts.
• AWS Glue or Amazon EMR experience.
• Databricks Certified Data Engineer Professional certification.
• Experience connecting OOTB BI tools to Databricks environments.

Job Title:  Senior Application Consultant

Design, implement, test, and deploy end-to-end software solutions in the Technology & Operations – MOT – LCS domain, ensuring performance, stability, and compliance. This role requires strong technical expertise in Big Data technologies, ETL pipelines, and CI/CD automation, combined with the ability to work independently and communicate effectively with cross-functional teams.

Key Responsibilities:

·       Solution Delivery: Design, develop, and deploy scalable applications and data pipelines using Hadoop, Hive, PySpark, and related technologies.

·       Requirements Analysis: Collaborate with project managers, business analysts, and stakeholders to translate business requirements into technical solutions.

·       Debugging & Support: Troubleshoot application issues, fix bugs, and provide Level 3 support for production systems.

·       Build & Release Automation: Package and release software artifacts using CI/CD tools (Bitbucket, Jenkins, Nexus) across all environments, including production.

·       Performance & Security: Ensure application reliability, security, and compliance with regulatory standards.

·       Continuous Improvement: Identify and implement design and process improvements to enhance efficiency and scalability.

·       Collaboration: Work closely with development leads, test engineers, infrastructure teams, and business users in an Agile/Scrum environment.

 Requirements

·       8 years or above of relevant experience

·       Bachelor’s degree or above in Computer Science, Engineering or related field

Technical Expertise:

·       Hands-on experience with Big Data stack: Hadoop, Hive, PySpark.

·       Strong knowledge of ETL pipelines, data reconciliation, and quality assurance techniques.

·       Proficiency in source code control systems and branching strategies (Git/Bitbucket).

·       Experience with CI/CD tools: Jenkins, Nexus, JIRA, Confluence.

·       Familiarity with relational databases (Oracle/MySQL) and data modeling concepts.

·       Knowledge of data structures, design patterns, and API design.

·       Experience working in Agile teams and applying Scrum practices.

·       Strong English communication skills (verbal and written).

·      Ability to adapt to challenges and remain calm in dynamic environments

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

Role: Dynamics 365 CRM Developer

Specialization: D365 Field Service

Job Summary

We are seeking a skilled Dynamics 365 CRM Developer to design, develop, and implement customized solutions within the Microsoft Dynamics 365 platform. The ideal candidate will work closely with business stakeholders and functional teams to deliver scalable CRM solutions that enhance business processes and customer experience

Key Responsibilities

• Configure, customize, and design UI for the D365 Field Service Mobile App.

• Align existing functionalities and implement required enhancements.

• Support application migration efforts and ongoing project requirements.

• Collaborate on handovers to ensure seamless delivery.

Must-Have Skills (Minimum 2 Years Hands-On)

• Microsoft Dynamics 365 CRM, with strong D365 Field Service experience.

• Mobile app configurations, customizations, and UI design (JavaScript, HTML).

• Power Automate, SSRS Reporting, Power BI.

• C# for plugins and custom logic.

Nice-to-Have

• Dataverse, PCF controls, offline capabilities.

• Integration with Azure or other Microsoft services.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or submit your CV to ashwak@aven-sys.com, Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name : Ashwak Ahmed

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

About the Role

The successful candidate will be responsible for the implementation, maintenance, and optimization of the bank's security posture across on-premises and cloud environments. This role focuses on safeguarding the network perimeter and cloud infrastructure, ensuring the confidentiality, integrity, and availability of critical financial systems while adhering to stringent regulatory security standards.

Responsibilities

• Implement and maintain security architecture across both on-premises and cloud platforms, applying zero-trust principles and defense-in-depth strategies..
• Configure and manage enterprise-grade security equipment, including Next-Generation Firewalls (NGFW), Intrusion Detection/Prevention Systems (IDS/IPS), WAFs, CDN and proxy.
• Identify, analyze, and mitigate security vulnerabilities and threats within the network and cloud infrastructure through regular scanning and monitoring.
• Collaborate with network and infrastructure teams to enforce network security policies, implement network segmentation (micro-segmentation), and manage secure access controls.
• Manage cloud security configurations for VM, container and Kubernetes based workload, ensuring secure networking in virtualization layer and tiered defense.
• Deploy and operate cloud-native security services (e.g., Security Groups, VPC Peering security, Cloud firewall, routing) in accordance with industry best practices to secure north-south and east-west traffic.
• Coordinate with security vendors and Managed Security Service Providers (MSSPs) to support security monitoring (SOC), resolve incidents, and optimize security toolsets.
• Support change management and security governance processes, ensuring that infrastructure changes undergo necessary security reviews.
• Maintain secure hybrid cloud connectivity, managing encrypted tunnels for site-to-site VPNs and secure API integrations.
• Assist in ensuring security infrastructure aligns with regulatory standards such as MAS TRM, SWIFT CSP, and BCS PSP, and support technical evidence gathering for audits.
• Participate in network design discussions to propose security requirements and assess design effectiveness.
• Develop and maintain documentation for security designs, firewall rulesets, incident response playbooks, and security procedures.

Requirements

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• At least 5 years of experience in security engineering, with a strong focus on network security and cloud security in a production environment.
• Experience working in regulated financial institutions or CII is highly preferred.
• Hands-on experience using AI-assisted coding tools to write, debug, and optimize scripts for automation (e.g., Python, Bash).
• Hands-on experience with security vendors such as Palo Alto, Fortinet, Checkpoint, or Cisco.
• Solid understanding of security protocols and concepts (SSL/TLS, SSH, IPsec, OAuth2, SAML, Cryptography and Zero Trust Architecture).
• Strong knowledge of cloud security concepts (e.g., VPC security, Security Groups, IAM roles, Landing Zone, Cloud Security Posture Management - CSPM).
• Familiarity with container security (Kubernetes/Docker) and hybrid cloud security integration.
• Experience with Linux security hardening and operation is a plus.
• Strong analytical and problem-solving skills, with the ability to perform root-cause analysis on security vulnerabilities.

Role Overview (Cybersecurity PM)

This role is responsible for governing and operationalizing the risk and compliance controls framework across critical banking applications. It focuses on maintaining a strong security posture through structured assurance activities and proactive risk mitigation.

The position requires solid technical knowledge in application security, along with a senior, structured approach to Governance, Risk, and Compliance (GRC), as well as strong stakeholder management skills.

Key Responsibilities

Security Assurance & Auditing

Conduct monthly, comprehensive security audits across application environments

Analyze security logs and telemetry data to identify control gaps, potential threats, and compliance issues

Vulnerability & Hardening Management

Lead and interpret enterprise-level vulnerability and configuration assessments

Consolidate findings into a risk- prioritized remediation plan

GRC and Remediation Leadership

Act as the central point for driving risk mitigation efforts

Follow up closely with cross-functional teams (Development, Infrastructure) to ensure timely remediation

Translate technical risks into clear and actionable governance reports, ensuring ongoing regulatory compliance

Role Overview

We are looking for a high-energy Sales Executive with 2–3 years of experience who thrives in a field sales / hunting role.

This is a boots-on-the-ground position focused on prospecting, meeting clients in person, and closing deals.

This role is ideal for someone who:

Enjoys being on the ground meeting customers

Can open doors without heavy brand backing

Is driven by targets and incentive

Key Responsibilities

Lead Generation & Prospecting

Identify and generate new business opportunities through:

Cold calling, Walk-ins / on-site visits, Networking events and Referrals

Build and maintain a strong local pipeline in Singapore and SEA\

Client Engagement (Field Focus)

Conduct in-person meetings, demos, and presentations

Understand client requirements and position solutions effectively

Build relationships with decision-makers (CXO, Ops Heads, IT Heads)

Market Intelligence

Gather insights on competitors, pricing, and customer needs

Provide feedback to leadership on market trends

Required Qualifications

2–3 years of B2B sales experience in Singapore / SEA

Experience in IT services / SaaS / staffing / solutions selling

Existing network in Singapore or SEA markets

Ability to work in a fast-growing, ambiguous environment

Proven track record in hunting and closing deals

Strong communication and negotiation skills

Comfortable with field sales and frequent client visits

Self-driven, target-oriented, and resilient

Should be able to build Strong pipeline within first 60 days

3–5 deals closed (depending on deal size)

Role Summary:

We are seeking for a strategic Data Engineer focused on building and scaling enterprise data platforms and pipelines for an upcoming project. The position combines strong data engineering fundamentals with data strategy, architecture, and governance, while also driving AI-enabled innovation to improve decision-making and user outcomes.

It requires technical expertise, analytical thinking, and stakeholder collaboration across product, engineering, and business teams. The role also emphasizes a mindset of ownership, informed decision-making, and continuous learning to support evolving technologies and product growth.

Key Responsibilities:

This role spans end-to-end data engineering, AI, and platform delivery, focused on building scalable data systems that support product, analytics, and policy decisions.

You will design and maintain data pipelines, platforms, and models, deliver analytics and data products, and work closely with stakeholders to turn business needs into actionable insights. The role also includes developing and operationalising AI/ML and LLM-based solutions, supported by strong MLOps practices.

On the platform side, you’ll implement modern data architectures and DataOps practices (e.g., automation, streaming, data observability) to ensure high data quality, reliability, and performance, while managing technical debt.

You’ll also ensure governance, security, and compliance, proactively managing risks in data systems.

Beyond technical execution, the role requires ownership and leadership—driving projects independently, mentoring others, collaborating cross-functionally, and contributing to broader strategy, technology decisions, and organisational impact.

Requirements:

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Company Overview

A Singapore-headquartered company that helps enterprises transform data into actionable insights using AI, analytics, and scalable operations.

It combines deep domain expertise with global delivery to operationalize AI and drive real business outcomes across industries like finance, education, and life sciences.

Job Summary

Act as the Private Equity Subject Matter Expert (SME) for technology teams, translating complex PE business processes into technical solutions, ensuring alignment with investment strategies, and supporting quality assurance and process improvements.

Responsibilities

• Collaborate with Investment Professionals and Finance teams to elicit detailed requirements on PE business processes such as cash flow forecasting, capital call/distribution calculations, waterfall modelling, carried interest, and limited partner reporting.
• Guide technical teams in designing and implementing data models, reporting systems, and workflow automation tools that reflect PE-specific financial logic and regulatory requirements.
• Serve as the primary PE domain SME, clarifying financial terminology, fund structures, investment metrics (e.g., IRR, TVPI, DPI), and accounting treatments (IFRS/GAAP) for technical teams.
• Lead User Acceptance Testing (UAT) to validate that applications and data pipelines accurately process PE financial data and meet business outcomes.
• Document and map existing PE workflows, identify system gaps, and propose technology-driven process optimizations to enhance efficiency and data quality.
• Ensure all technology solutions align with the firm’s investment strategy, compliance requirements, and investor reporting standards.
• Train Application Support teams on PE business context to enable faster and more effective resolution of financial data issues.

Required competencies and certifications

• Demonstrable working knowledge of the Private Equity investment lifecycle, fund structures, fund accounting principles, and key investment metrics (e.g., IRR, TVPI, DPI).

Preferred competencies and qualifications

• Chartered Accountant (CA) qualification, confirming depth in financial reporting and accounting standards.
• CFA certification or equivalent financial credentials.

Other Information

• Experience: 7+ years in financial domain roles related to Private Equity, Fund Administration, or Investment Operations with deep knowledge of PE financials.
• Location: Singapore

Key Responsibilities

• Lead Development team to Design, develop, and maintain full-stack applications using Golang (backend) and SvelteKit (frontend).

• Build, optimize, and maintain GraphQL APIs for data-driven applications.

• Implement microservices for modular, scalable, and resilient systems.

• Familiar with PostgreSQL databases, including schema design and query tuning.

• Collaborate cross-functionally with product, design, and operations teams to deliver high-quality software.

• Ensure code quality through peer reviews, testing, and CI/CD practices.

• Contribute to system architecture discussions and drive engineering best practices.

• Support performance tuning of application systems.

Required Qualifications

• 7+ years of professional experience as a full stack or backend engineer.

• Strong proficiency in Golang for backend development.

• Proficient in SvelteKit or similar modern frontend frameworks (React, Vue, etc.).

• Experience building and maintaining GraphQL APIs.

• Deep understanding of microservices architecture and distributed systems.

• Strong SQL skills with experience in MS SQL and PostgreSQL.

• Familiarity with CI/CD pipelines, testing, and version control systems.

• Excellent problem-solving, debugging, and communication skills.

Good to Have

• AWS project experience (e.g., Lambda, ECS, RDS, S3, API Gateway).

• Familiarity with Temporal Workflow or similar orchestration frameworks.

• Experience with Node.js for backend or API development.

• Experience with containerization/orchestration (Docker, Kubernetes).

• Background in performance tuning, observability, and system optimization.

• Experience mentoring or leading small engineering teams.