310 Data Engineering jobs in Malaysia

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: WRB Data & Analytic supports Data and Business Intelligence, Finance and Risk projects globally in data delivery via data warehouse solutions. The team comprises data specialists, technology experts, and project managers who collaborate with business stakeholders for end-to-end solution implementation. SCB seeks to hire talented data professionals with relevant experience who will be able to work in a global environment from an internal and external talent pool. To support the WRB Data Technology team in its objectives through a mix of: Aligning project timelines to ensure successful delivery. Providing support for Data Analysis, Mapping, and Profiling. Performing data requirement gathering, analysis, and documentation. Mapping data attributes from different source systems to target data models, ensuring the same business rules are followed. Interpreting use case requirements and designing target data models/data marts. Profiling data attributes to assess data quality, referential integrity, and providing remediation recommendations. Ensuring data use complies with data architecture principles, including golden sources and standard reference data. Data modeling for better data integration within the data warehouse platform. Project delivery includes: Working independently to engage consultants, business analysts, and escalate issues timely. Providing subject matter expertise and recommendations to balance time-critical vs. long-term sustainability. Key responsibilities include: Collaborating with squad members for successful project delivery, managing stakeholders, and ensuring milestones are met. Analyzing user requirements, profiling data, and finalizing requirements. Transforming data requirements into data models following standards. Creating data mapping templates. Profiling data to assess quality and suitability. Supporting data store development activities with guidance on mappings. Providing solution direction from a standard architecture perspective. Participating in decision-making discussions with stakeholders. Performing SIT and supporting UAT. Managing change requests during project delivery. Ensuring compliance with data quality management frameworks. Regulatory & Business Conduct • Display exemplary conduct and live by the Group’s Values and Code of Conduct. • Take personal responsibility for embedding high standards of ethics and compliance. • Identify, escalate, mitigate, and resolve risk, conduct, and compliance matters. Key stakeholders Our Ideal Candidates Should Have:-

Minimum of 8 years’ experience as a business analyst/data analyst in data warehousing projects. Ability to work across domains, coordinate with multiple stakeholders, and manage ambiguity. Proven experience in data mapping, design, and modeling activities. Excellent communication, leadership, and stakeholder management skills. Strong problem-solving and organizational skills. Personal ownership and proactive attitude. Continuous learning mindset. Knowledge of banking domain, wealth, and retail banking products. Proficiency in ETL processes and SQL. About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For over 170 years, we've worked to make a positive difference for clients and communities. We value diversity, inclusion, and our purpose to drive commerce and prosperity. Join us to be part of a values-driven organization that celebrates your talents and fosters growth. Our core behaviors include: Doing the right thing

with integrity and client focus. Never settling

by continuously improving and innovating. Being better together

through inclusivity and collaboration. What we offer

In line with our Fair Pay Charter,

we offer a competitive salary and benefits supporting your wellbeing, including retirement, medical, life insurance, flexible benefits, generous leave policies, flexible working options, wellbeing support, continuous learning opportunities, and an inclusive organizational culture.

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Join to apply for the Associate III - Data Engineering role at UST

2 days ago Be among the first 25 applicants

Join to apply for the Associate III - Data Engineering role at UST

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Role Description

About the Role:

We are looking for a highly skilled and results-driven Data Engineer to join our dynamic data engineering team.

In this role, you will be responsible for designing, building, and maintaining real-time data pipelines and high-performance ETL workflows across cloud platforms such as AWS and Azure.

You will play a key role in managing large-scale data integration, ensuring data quality and security, and enabling advanced analytics for telecom and financial domains.

Key Responsibilities

• Design and deploy scalable, real-time data streaming pipelines using AWS Glue, Kinesis, and Teradata VantageCloud Lake.
• Build and maintain robust ETL workflows using Azure Data Factory and Synapse Analytics to process telecom and financial data exceeding 10TB.
• Optimize SQL performance with advanced techniques like secondary indexing, partition pruning, and temporary table usage in Teradata and Synapse.
• Automate data validation using Python to enforce schema integrity, null handling, and transformation audits.
• Implement data security measures including masking and role-based access control (RBAC) to ensure compliance with GDPR and internal policies.
• Develop web scraping tools using Selenium and BeautifulSoup to ingest semi-structured and dynamic web data into ETL pipelines.
• Automate deployment and server-side operations using Bash scripting, reducing manual intervention and streamlining engineering workflows.
• Collaborate with cross-functional teams to implement and monitor data solutions using CI/CD pipelines and modern orchestration tools.
  
  

Key Projects

CDN Data Processing Pipeline: Ingested and processed over 500GB daily using AWS Lambda, Kinesis, and Spark SQL with real-time monitoring and auto-error recovery.

LLM-Powered QA Validator: Designed an AI-based quality assurance pipeline using LangChain, vector stores, and LLM evaluation to reduce manual QA efforts by 60%.

Smart Migration Assistant: Built an LLM-based code migration tool to convert legacy workflows (Informatica, SAS) into modern frameworks like DBT and PySpark.

Qualifications

• Bachelor’s degree in Computer Science or a related field from a reputed university.
• 2+ years of experience in data engineering or backend development with hands-on expertise in cloud-native ETL systems.
• Strong programming skills in Python and SQL with a deep understanding of data structures and algorithms.
• Proficiency in working with AWS (Glue, Kinesis, Lambda), Azure (ADF, Synapse), and Teradata VantageCloud.
• Experience with LLM tools like LangChain, vector databases, and building AI-powered automation systems is a plus.
• Knowledge of data orchestration and DevOps tools like Airflow, Docker, Git, Kubernetes, Terraform, and Jenkins.
  
  

Preferred Skills

• Exposure to GCP ecosystem (BigQuery, Dataflow).
• Understanding of data governance, compliance standards, and secure data handling (PII, GDPR).
• Familiarity with REST API integration and event-driven data architectures.
  
  

Why Join Us?

• Work with cutting-edge technologies in a cloud-first, AI-augmented environment.
• Contribute to high-impact projects for global telecom and financial clients.
• Flexible work arrangements and a strong culture of learning and innovation.
  
  

Skills

Data Engineering,Data Management,Excellent Communication

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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ANALYTICS SPECIALIST – DATA AUTOMATION & REPORTING (Based in Perai) (Fresh Grads ONLY - July Onwards Intake) - Engineer, Data Analyst Equipment Engineering Graduate Technical Program (GTP) - Data Engineer Specialist Corporate CoE Data Processes & Tool - HR Projects (Fresh Grad ONLY) Engineer, Business Process Management Client Success Representative (Remote, Contract)

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EDWARDS LIFESCIENCES (MALAYSIA) SDN. BHD. 4.5 4 reviews · View all jobs

Add expected salary to your profile for insights

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.

How you will make an impact :

• Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
• Design state-of-the-art data structure to fulfill Edwards's data needs.
• Engage in agile discussion with team members to produce the best approach for data.
• Convert business requirements into specifications and devise data structure using the Snowflake platform.
• Define data structure guidelines and execute the solution.
• Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
• Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
• Troubleshoot technical challenges and handle risks to expedite completion schedules.
• Fine-tune data performance, solve operational glitches, and refine functionalities.
• Support Operations lead with issue escalation and resolution to adhere to SLA commitments.

What you'll need (Requir ements):

• Bachelor’s degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years’ experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
• Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
• Prior experience or taken part in data migration exercises would be advantageous.
• Competence in intricate technical project management.
• Certification from Snowflake would be advantageous.

What else we look for (Preferred) :

• Advanced skills in Snowflake or SQL are preferred.
• Knowledge and experience in Tableau & Salesforce are desirable.
• Fluency in programming languages such as SQL.
• A strong background in relational databases and IT infrastructure components.
• High-level communication and presentation abilities.
• Adeptness to work effectively in both autonomous and collaborative team settings.
• An extensive comprehension of healthcare or medical device sectors is an asset.
• Valuable insights into complex global business operations.

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How do your skills match this job?

How do your skills match this job? Sign in and update your profile to get insights.

Healthcare & Medical More than 10,000 employees

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad

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Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.
**How you will make an impact** **:**
+ Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
+ Design state-of-the-art data structure to fulfill Edwards's data needs.
+ Engage in agile discussion with team members to produce the best approach for data.
+ Convert business requirements into specifications and devise data structure using the Snowflake platform.
+ Define data structure guidelines and execute the solution.
+ Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
+ Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
+ Troubleshoot technical challenges and handle risks to expedite completion schedules.
+ Maintain comprehensive documentation for data structure.
+ Fine-tune data performance, solve operational glitches, and refine functionalities.
+ Support Operations lead with issue escalation and resolution to adhere to SLA commitments.
**What you'll need (Requir** **ements):**
+ Bachelor's degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years' experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
+ Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
+ Prior experience or taken part in data migration exercises would be advantageous.
+ Competence in intricate technical project management.
+ Certification from Snowflake would be advantageous.
**What else we look for (Preferred)** **:**
+ Advanced skills in Snowflake or SQL are preferred.
+ Knowledge and experience in Tableau & Salesforce are desirable.
+ Fluency in programming languages such as SQL.
+ A strong background in relational databases and IT infrastructure components.
+ High-level communication and presentation abilities.
+ Adeptness to work effectively in both autonomous and collaborative team settings.
+ An extensive comprehension of healthcare or medical device sectors is an asset.
+ Valuable insights into complex global business operations.

EDWARDS LIFESCIENCES (MALAYSIA) SDN. BHD. 4.5 4 reviews · View all jobs Add expected salary to your profile for insights Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future. How you will make an impact

: Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value. Design state-of-the-art data structure to fulfill Edwards's data needs. Engage in agile discussion with team members to produce the best approach for data. Convert business requirements into specifications and devise data structure using the Snowflake platform. Define data structure guidelines and execute the solution. Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols. Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes. Troubleshoot technical challenges and handle risks to expedite completion schedules. Fine-tune data performance, solve operational glitches, and refine functionalities. Support Operations lead with issue escalation and resolution to adhere to SLA commitments. What you'll need (Requir

ements): Bachelor’s degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years’ experience required progressively direct experience delivering projects with Snowflake or SQL is a must. Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment. Prior experience or taken part in data migration exercises would be advantageous. Competence in intricate technical project management. Certification from Snowflake would be advantageous. What else we look for (Preferred)

: Advanced skills in Snowflake or SQL are preferred. Knowledge and experience in Tableau & Salesforce are desirable. Fluency in programming languages such as SQL. A strong background in relational databases and IT infrastructure components. High-level communication and presentation abilities. Adeptness to work effectively in both autonomous and collaborative team settings. An extensive comprehension of healthcare or medical device sectors is an asset. Valuable insights into complex global business operations. SHARE THIS JOB

How do your skills match this job?

How do your skills match this job? Sign in and update your profile to get insights. Healthcare & Medical More than 10,000 employees We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life. We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life. Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad

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Senior Software Engineer, Data Engineering

Finexus Group Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

3 months ago Be among the first 25 applicants

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing data infrastructure and pipelines, ensuring data integrity, and enabling analytics and machine learning initiatives. You will work closely with data scientists, analysts, and software engineers to architect and implement data solutions that drive business insights and operational efficiency. Knowledge of Kubernetes and containerized environments is essential for managing workloads and scaling data solutions effectively.

Key Responsibilities

• Design, build, and maintain scalable and efficient data pipelines using modern data engineering tools and frameworks.
• Develop ETL/ELT processes to ingest, transform, and store structured and unstructured data from various sources.
• Implement and manage data orchestration frameworks to automate, schedule, and monitor data workflows efficiently.
• Optimize data storage, retrieval, and processing performance for large-scale datasets.
• Design and implement data warehouses and data lakes to support analytics, reporting, and machine learning workloads.
• Manage and maintain on-premises and cloud data infrastructure, including storage, networking, and compute resources.
• Deploy and manage containerized data workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Develop and implement dashboards to visualise data.
• Ensure data quality, security, and governance best practices are followed.
• Implement and maintain data lineage tracking to ensure traceability and transparency of data transformations.
• Implement monitoring and alerting systems for data pipelines to ensure reliability and uptime.
• Drive the adoption of best practices in data engineering, automation, and on-premises infrastructure management.
• Lead initiatives and mentor junior engineers and contribute to a culture of continuous learning and improvement.
  
  

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering, data architecture, or software development with a focus on data solutions.
• Strong experience in on-premises data infrastructure, including storage, networking, and compute resources.
• Proficiency in programming languages such as Python and Java.
• Hands-on experience with Kubernetes for container orchestration and workload management.
• Strong experience with big data processing frameworks such as Apache Spark, or similar.
• Experience designing and implementing relational database, object storage, data warehouses and data lakes (e.g. MariaDB, MinIO, AWS S3, ClickHouse, etc.).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Experience in data modelling, warehousing, and analytics solutions.
• Knowledge of data visualization tools such as Grafana, Apache Superset, or similar for presenting insights effectively.
• Strong understanding of data governance, security, and compliance best practices.
• Knowledge and experience with cloud platforms such as AWS, Azure, or GCP is beneficial.
• Experience with real-time data streaming technologies such as Kafka or Apache Flink is beneficial.
• Excellent problem-solving skills, communication, and the ability to work in a collaborative environment.

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Finexus Group by 2x

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Senior Software Engineer, Data Engineering

Finexus Group Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 months ago Be among the first 25 applicants As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing data infrastructure and pipelines, ensuring data integrity, and enabling analytics and machine learning initiatives. You will work closely with data scientists, analysts, and software engineers to architect and implement data solutions that drive business insights and operational efficiency. Knowledge of Kubernetes and containerized environments is essential for managing workloads and scaling data solutions effectively.

Key Responsibilities

Design, build, and maintain scalable and efficient data pipelines using modern data engineering tools and frameworks. Develop ETL/ELT processes to ingest, transform, and store structured and unstructured data from various sources. Implement and manage data orchestration frameworks to automate, schedule, and monitor data workflows efficiently. Optimize data storage, retrieval, and processing performance for large-scale datasets. Design and implement data warehouses and data lakes to support analytics, reporting, and machine learning workloads. Manage and maintain on-premises and cloud data infrastructure, including storage, networking, and compute resources. Deploy and manage containerized data workloads using Kubernetes. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Develop and implement dashboards to visualise data. Ensure data quality, security, and governance best practices are followed. Implement and maintain data lineage tracking to ensure traceability and transparency of data transformations. Implement monitoring and alerting systems for data pipelines to ensure reliability and uptime. Drive the adoption of best practices in data engineering, automation, and on-premises infrastructure management. Lead initiatives and mentor junior engineers and contribute to a culture of continuous learning and improvement.

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5+ years of experience in data engineering, data architecture, or software development with a focus on data solutions. Strong experience in on-premises data infrastructure, including storage, networking, and compute resources. Proficiency in programming languages such as Python and Java. Hands-on experience with Kubernetes for container orchestration and workload management. Strong experience with big data processing frameworks such as Apache Spark, or similar. Experience designing and implementing relational database, object storage, data warehouses and data lakes (e.g. MariaDB, MinIO, AWS S3, ClickHouse, etc.). Familiarity with data orchestration tools like Apache Airflow or similar. Experience in data modelling, warehousing, and analytics solutions. Knowledge of data visualization tools such as Grafana, Apache Superset, or similar for presenting insights effectively. Strong understanding of data governance, security, and compliance best practices. Knowledge and experience with cloud platforms such as AWS, Azure, or GCP is beneficial. Experience with real-time data streaming technologies such as Kafka or Apache Flink is beneficial. Excellent problem-solving skills, communication, and the ability to work in a collaborative environment.

Seniority level

Seniority level Associate Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Referrals increase your chances of interviewing at Finexus Group by 2x Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR4,000 - MYR5,000 3 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 9 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Puchong, Selangor, Malaysia MYR3,200 - MYR4,500 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 days ago Petaling Jaya, Selangor, Malaysia MYR5,000 - MYR7,000 1 month ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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The day-to-day activities (Duties and Responsibilities):

• Grow, mentor and lead the H3’s AI, data science and data engineering team.
• Ensuring that team members are clear about expected standards of performance,motivated and developed to provide effective and efficient services.
• Building on H3’s AI roadmap, lead the development of the H3’s AI and data science vision, strategy and capability plan.
• Continue to develop H3’s AI data microservices and infrastructure, and integrate the latest data models and data pipelines, establishing a model management approach that is best in class for responsible data use.
• Provide expertise in statistics and probability, and the evaluation of data use, algorithm and models for internal development

Work experience/Skills required:

• Possessing a Bachelor’s degree in relevant field; Higher education qualifications in computer vision, machine-learning, statistics and/or technology also preferred –computer science, software engineering etc.
• Significant (5 years +) experience in AI, data science and computer vision.
• Significant experience of recruiting, establishing and managing a data science / AI team
• Significant experience of developing a data strategy and data governance approach
• Significant experience of designing, developing, deploying and managing algorithms, models, and model management approaches.
• Significant experience of delivering machine learning and data analysis projects. Generating data insights
• Industry-specific knowledge; Facilities Management/Built Environment/Civil Engineering is a huge bonus

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The day-to-day activities (Duties and Responsibilities): Grow, mentor and lead the H3’s AI, data science and data engineering team. Ensuring that team members are clear about expected standards of performance,motivated and developed to provide effective and efficient services. Building on H3’s AI roadmap, lead the development of the H3’s AI and data science vision, strategy and capability plan. Continue to develop H3’s AI data microservices and infrastructure, and integrate the latest data models and data pipelines, establishing a model management approach that is best in class for responsible data use. Provide expertise in statistics and probability, and the evaluation of data use, algorithm and models for internal development Work experience/Skills required: Possessing a Bachelor’s degree in relevant field; Higher education qualifications in computer vision, machine-learning, statistics and/or technology also preferred –computer science, software engineering etc. Significant (5 years +) experience in AI, data science and computer vision. Significant experience of recruiting, establishing and managing a data science / AI team Significant experience of developing a data strategy and data governance approach Significant experience of designing, developing, deploying and managing algorithms, models, and model management approaches. Significant experience of delivering machine learning and data analysis projects. Generating data insights Industry-specific knowledge; Facilities Management/Built Environment/Civil Engineering is a huge bonus

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