Total 5,516 data entry clerk job vacancies in Hong Kong

Job Description

About us 

Dyson is a global technology company with a simple mission: solve problems others ignore. We pioneer radically better technologies across categories—from intelligent vacuums and haircare to connected purifiers and emerging product innovations. As Dyson products become increasingly intelligent, connected and insightdriven, our digital and data capabilities enable us to deliver exceptional owner experiences, discover critical enterprise insights, and unlock new opportunities throughout the product lifecycle. 

About the role 

As a Data Product Manager in Singapore, you will play a pivotal role as part of shaping Dyson's next-generation digital initiatives that put our customers at the centre, provide functional insights to the business, and foster innovation across all touchpoints. 

Working closely with Digital Transformation Managers and App/IT delivery teams, you will: 

• Own the data and tracking requirements for Dyson’s IoT-connected products. 

• Contribute to Dyson’s digital vision and transformation roadmap.  

• Create and define Data Product requirements. Manage Data Product feasibility across product development milestones and reviews.  

• Ensure cross-team alignment on tasks across multiple backlogs (e.g. App, Cloud, Embedded Software, Enterprise IT, etc).

• Manage expectations of Data Product delivery with senior Dyson stakeholders. 

• Work to Lean and Agile practices, supporting teams as we look to improve flow. Provide concise reporting and communication of the data roadmap, planning and delivery. 

About you 

• Experience in data product management, DA/BI and software development, including working knowledge of data/analytics technologies. Natural tendency to think Data first. 

• Outstanding interpersonal communication skills and comfortable with a high change environment. Excellent personal organisation, with proven ability to take requirements, generate a plan, and execute against it. 

• Experience working in a multi-disciplinary team on challenging project outcomes.  

• Strong commercial awareness and knowledge of the objectives of different business functions - what their respective roles are, and how they typically relate. 

• Ability to influence others and communicate the impact at senior levels. Comfortable in engaging with multiple stakeholders (technical and non-technical)  

Benefits

Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

Our global teams took on the challenge to make a difference in the way the global financial markets operate. Would you seek the same challenge?

At LSEG, we help our customers achieve success by providing access to an open platform that uncovers opportunity and catalyzes change.

The Pricing Reference Services Sales role at LSEG drives adoption of end of day and evaluated pricing, corporate actions and reference data solutions across all major asset classes for both buyside and sellside institutions.

The candidate will engage both middle and back office teams, custody providers and fund administrators to deliver solutions that simplify workflows, streamline regulatory reporting and support operational efficiency.

As a "hunter" in pre-sales and pursuit activities, you will join a team to act alongside Account Managers focusing on all sales (new, cross-sells, up-sells) for Data & Feeds Solutions in the given territory, to both existing and new customers.

This role is exclusively about gross sales, with future potential territory expansion depending on performance, and regular travel around the region. Extensive training and support is provided, and involves working in close partnership with account managers, solution consultants and customer success managers to proactively drive revenue growth.

LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities

Role Responsibilities

• Drive sales of multi-asset pricing and reference data services to institutional clients across asset management, banking, custody and fund administration sectors

• Develop relationships within middle and back office departments, including operations, risk, compliance and data management teams.

• Articulate value for regulatory compliance and reporting needs helping clients meet global and regional obligations using LSEG's data solutions

• Address client requirements for data enrichment, instrument identification (symbology) and integration with portfolio management, risk, core banking, core banking, custody and fund administration platforms.

• Support clients in leveraging LSEG data for operational processes and workflow transformation

Key Experience & Skills

• Deep understanding of financial markets and their market data requirements

• While product knowledge is a plus, passion and proven selling skills are far more meaningful

• Strong sales closer

• Strong presentation skills (verbal & written)

• Experience driving sales strategies

• 5+ years of industry, sales or market experience

• Proven track record in a quota bearing sales environment

People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG.

Job Summary

Seeking a Junior data/analytics professional responsible for analyzing banking data using SQL and Python, supporting data architecture and reporting, and collaborating with users to gather requirements and resolve issues.

Mandatory Skill-set

• Must have strong knowledge of SQL and Python;
• Must have Proficiency in Microsoft Excel, Word, and PowerPoint;
• Good analytical and problem-solving skills;
• Ability to work independently with users for requirements gathering and issue investigation;
• Strong communication and interpersonal skills;
• Basic understanding of banking products.

Desired Skill-set

• Knowledge of data architecture concepts including data warehouse and big data technologies;
• Familiarity with Hadoop and discovery/BI tools such as Qlik Sense and Hue, plus exposure to AI tools;

Responsibilities

• Analyze and manage data using SQL and Python to support business needs;
• Work with users to gather requirements and understand data/reporting needs;
• Investigate and resolve data or system-related issues;
• Prepare reports, analysis, and presentations using Microsoft Office tools;
• Support data architecture and data warehouse environments;
• Utilize big data, BI, or AI tools to enhance data discovery and insights.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

·      Administer and manage Redis clusters for low-latency caching and real-time transaction processing.

·      Manage MongoDB clusters (replication, sharding) for scalable transaction and semi-structured data storage.

·      Working knowledge of Hadoop ecosystem (Hadoop, Hive, Pig, Oozie, Hbase, Flume, sqoop) using both automated tool sets as well as manual processes.

·      Support and maintain Hadoop (HDP)clusters for batch processing, analytics, and regulatory reporting.

·      Perform cluster lifecycle management provisioning, scaling, patching, and decommissioning nodes.

·      Ensure 24x7 availability and resilience of production systems supporting payment flows.

·      Manage and optimize Apache Kafka for high-throughput, real-time payment event streaming.

·      Support Apache NiFi for ingestionpipelines from upstream payment systems and external partners.

·      Work with AWS EMR for scalableprocessing of transaction data and reconciliation workloads.

·      Administer HDFS, ensuring optimal replication,storage utilization, and fault tolerance.

·      Manage OpenSearch / Elasticsearchclusters for transaction search, audit trails, and operational dashboards.

Required Skills & Experience

·      6–8 years of experience in Big Data / DataPlatform Engineering in enterprise environments.

·      Strong hands-on experience with:

·      Hadoop ecosystem (HDFS, YARN, MapReduce, HDP)

·      Apache Kafka (high-throughput environments)

·      Redis and MongoDB clusters

·      OpenSearch / Elasticsearch

·      Apache NiFi

·      AWS EMR + good knowledge of AWS Cloud.

·      Strong expertise in Linux system administration and scripting (Shell/Python)

·      Experience with Kerberos, data security, and access governance

·      Proven experience in handling high-volume, low-latency systems (preferably payments/trading) 

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Role Overview
We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment (CI/CD) and Site Reliability Engineering (SRE) practices.

As a forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, you will be working on:

•      Translate data requirements from business users into technical specifications.

•       Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

•      Build out data product as part of a data team:

•      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

•       Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

•       Construct, test, and update useful and reusable data models based on data needs of endusers.

•       Design and build secure mechanisms for end users and systems to access data in data warehouse.

•       Research, propose and develop new technologies and processes to improve agency data infrastructure.

•       Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

•      Maintain data catalogue to document data assets, metadata and lineage.

•       Implement data quality checks and validation processes to ensure data accuracy and consistency.

•      Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

This will be a 2-years direct contract position.

Responsibilities

• Translate strategic direction into actionable digital transformation and delivery plans for ML/AI initiatives.
• Oversee architectural decisions that enable scalable analytics capabilities
• Ensure that technical standards and responsible AI frameworks are consistently applied.
• Define divisional outcomes and OKRs in alignment with goals.
• Develop long-term roadmaps, and drive their execution across teams.
• Identify and remove systemic inefficiencies, anticipate risks, and take decisive action to navigate challenges.
• Build strategic cross-functional partnerships.
• Champion a culture of continuous improvement, open communication, and innovation.
• Build and manage a high-performing team.
• Coach people managers, scientists and engineers.
• Set hiring standards and lead recruitment efforts to bring in and develop top talent.
• Conduct regular 1:1s with direct and indirect reports.
• Gather feedback on team health and create the infrastructure and environment for consistent, motivated performance.

Requirements

Deep expertise in

• Satellite data exploitation, cloud infrastructure deployments and government security requirements.
• Data analytics, database management, and software development.
• Strong communication, interpersonal, and presentation skills.
• Able to think strategically and translate complex technical concepts into clear, actionable plans is important.
• Satellite mission control software, space systems, orbital analysis tools, and space weather monitoring highly advantageous.
• Experience in program development and management is highly advantageous.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

COMPANY DESCRIPTION

THKMC was incorporated on 13 October 2011 as a charity to provide multiple social and welfare services to the community at large, and achieved an Institute of Public Character (IPC) status on 18 November 2011. THKMC is the charitable arm of Thye Hua Kwan Moral Society, which lives by the mission - To Serve Mankind - to help anyone who needs help regardless of their race, religion, colour, language, creed and culture. THKMC today serves more than 70,000 beneficiaries through more than 70 programmes across five Services, which include Disability, Early Intervention for Children, Family, Seniors' Community, and Therapy.

RESPONSIBILITIES

Job Responsibilities

• Write and maintain programs and tools to collect, clean, combine, and organise numerical and text-based data used by social service organisations.
• Create programs that automatically produce management and audit reports on a regular schedule.
• Build interactive charts, graphs, infographics, and posters using code and web development tools.
• Design, launch, and maintain dashboards and data applications, keeping all code organised and up to date.
• Use statistical methods to analyse numerical and descriptive data from the social service sector.

Qualifications

• Diploma or degree in computer science, software engineering, information systems, data engineering, or related fields.
• Proficiency in at least one general-purpose programming language and associated ecosystem such as Python, SQL, JavaScript, or similar tools for building data solutions.
• Hands-on experience with data visualisation, dashboarding, and application tools such as Power BI or Tableau
• Experience with at least one quantitative analysis software such as SPSS, STATA, R and/or similar tools.

THK Family Service Centres (FSCs) have played a pivotal role as essential community hubs, offering social services to families grappling with psycho-social challenges. Thye Hua Kwan Moral Charities currently manages five FSCs strategically located in Jurong West, Bukit Panjang, Tanjong Pagar, MacPherson and Bedok North.

Job Responsibilities:

• Lead and drive the full data engineering lifecycle, including architectural design, conceptualization, data modeling, implementation, and operational management of complex data systems.
• Architect, build, and maintain robust, highly scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, utilizing orchestration tools like Apache Airflow.
• Drive the development and continuous improvement of the organization's lakehouse and data warehouse by designing advanced data models and applying modern data transformation practices with tools like dbt.
• Design and automate scalable data processes by integrating diverse systems, APIs, and third-party services to ensure fault-tolerant data flow and synchronization.
• Define and enforce best practices for data governance, quality, and lineage, while establishing comprehensive monitoring and alerting frameworks to ensure system reliability at scale.
• Partner with cross-functional technical and business teams to translate complex business requirements into scalable technical specifications and robust production-ready solutions.
• Architect, deploy, and maintain internal automation solutions and data products. Integrating AI or machine learning components into these solutions to drive efficiency is a strong plus.
• Mentor junior data engineers, conduct code reviews, and provide technical leadership to elevate the team's data engineering practices.
• Any ad hoc duties as assigned.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field is preferred.
• Proven track record and deep understanding of software engineering principles, scalable system architecture, and object-oriented design, with significant experience building enterprise-grade data applications will be a bonus.
• Expert-level proficiency in Python, including extensive experience with data manipulation libraries (e.g., Pandas, NumPy) and frameworks for web scraping (e.g., Selenium). Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Advanced experience designing and deploying complex data pipelines using workflow orchestration tools like Apache Airflow.
• Deep expertise with data transformation tools like dbt and a mastery of modern ETL/ELT design patterns.
• Extensive experience with advanced data modeling techniques (conceptual, logical, physical) and data warehouse schemas (e.g., Star, Snowflake) for large-scale datasets.
• Significant hands-on experience and architectural knowledge of cloud platforms (GCP, AWS, or Azure).
• Highly proficient in SQL with extensive experience in designing, tuning, and optimizing relational databases and modern cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
• Strong practical experience with containerization (Docker, Kubernetes) and designing robust CI/CD pipelines.
• Experience in building AI agents, implementing GenAI solutions in production (AIOps), or developing solutions using Generative AI frameworks (e.g., ADK, LangChain, LlamaIndex) is a advantages.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts clearly to diverse stakeholders and executive teams.
• A highly proactive and analytical approach to solving complex problems, combined with meticulous attention to detail.
• Strong sense of ownership and autonomy, with a proven ability to independently lead major technical initiatives, manage complex projects, and deliver high-impact results.

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Senior Data Engineer Consultant to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.

Key Responsibilities

• Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation.
• Provide independent technical validation and recommendations to ensure alignment with business and technology objectives.
• Ensure data solutions comply with governance, security, scalability, and performance standards.
• Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges.
• Identify risks, gaps, and opportunities for improvement across data platforms and processes.
• Support project governance, acceptance reviews, and technical sign-off activities.

Requirements

• 7–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery.
• Hands-on knowledge of Databricks/Fabric, Azure Data Platform, Python (PySpark), and SQL.
• Experience reviewing solution designs, data models, and enterprise-scale data pipelines.
• Understanding of data governance, data quality, and cloud architecture best practices.
• Ability to engage with both technical and business stakeholders.
• Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.