QA Engineer

Date: 19 Sep 2024

Location: Hong Kong

Company: Fleet Management Limited

Our 29-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at FLEET, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background. We are looking for individuals who are ambitious about making a strong contribution to FLEET’s short and long-term sustainable growth – whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

Job Position Summary

An exciting and challenging opportunity has arisen for a Quality Assurance Engineer to contribute to all efforts across our IT programme which includes new solutions based around rebuilding our custom in-house PARIS platform.

The successful candidate will be responsible for participating in our team of IT professionals and ensuring the delivery of robust, sustainable and flexible solutions to best meet strategic goals.

This role is a key part of Fleet’s focus to develop leading digital capability to enhance and improve our platforms deployed over 600 ships

Key Roles and Responsibilities

As a Quality Assurance Engineer, your typical day might include:

Participating in the Quality Assurance of Front-end and Back-end Software

Working closely with the development team to guarantee the quality for both front-end and back-end components following industry best-practices and in adherence with architectural principles

Working with other Quality Assurance Engineers to guarantee the Quality of the overall platform. This includes functional and non-functional requirements such as performance, stability and security.

Identify innovative solutions in line with technology trends to both demonstrate how the Quality Assurance team can help solve automation problems effectively and efficiently

Stakeholder Management & Communication

Working closely with other Software Engineers, QA Engineers, UX Designers and Business Analysts, to understand needs and how best to deliver innovative solutions to meet expectations

Communicating clearly and concisely Quality Assurance decisions with (other Quality Assurance) Engineers and other IT stakeholders in simple or technical terms

Teamwork

Share experience, technical expertise, best practices and helping the IT team to overcome hurdles.

Proactive mind-set in helping other Quality Assurance & Software Engineers if they require help or expertise.

Working collaboratively with the rest of the IT team members – based onshore and offshore – to ensure that solutions delivered are high-quality and easy-to-support.

Relationship:

INTERNAL:

Development Teams (based in HK & India); Ops & Support (based in HK & India);

EXTERNAL:

Answering and helping external development teams.

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL

3+ years’ experience in a Quality Assurance Engineering role working with JavaScript/TypeScript or Java

Strong Quality Assurance mindset that can be demonstrated in both:

Manual Testing

Automation Testing with the Robot Framework or Selenium Web Driver.

Strong Database knowledge and able to query advanced statements in Postgres, Oracle and/or MariaDB

Effective and confident communication skills in written and spoken English

DESIRABLE

Have awareness about Security & Performance concepts and methods to validate these

Experience working Application Performance Monitoring tools

Thorough understanding of automation concepts and tool such as: Docker, CI/CD & Jenkins

Worked successful in an Agile Team before, either Scrum, XP, Lean or Kanban

Competencies

Analysis & Problem Solving: Uses critical thinking to address problems. Able to perform root cause analysis on complex problems to identify underlying trends and put forward well-thought out solutions to address the causes.

Listening & Communication: Focuses on the individual they are communicating with. Writes and expresses thoughts clearly adjusting as necessary to the audience. Asks questions to clarify.

Collaboration, Inclusion & Teamwork: A good team player that is personable, friendly, polite and takes the time to know people. Collaborates with onshore and offshore colleagues well.

Customer Focus: Understands the needs of the customer clarifying requirements and expectations. Adapts as necessary to changing requirements and is responsive, helpful with all requests. Sets high quality for service delivery.

Planning & Organizing: Uses the supplied tools for structured project planning for optimal time use. Balances competing priorities. Promptly Updates people when plans change and keeps them apprised of progress. Adjusts own plans based on FML strategies and plans.

Initiative: Challenges existing ways of doing things. Looking for continuous improvement without being asked. Identifies ways to improve efficiency and effectiveness in own work and others in the team

Accountability: Responsible for delivery own work without unnecessary supervision. Always demonstrates integrity and ethical behavior being a role model for others. Invites constructive feedback adjusting actions accordingly. Thinks through mistakes made and finds ways to prevent reoccurrence.

Job Position Summary

We are seeking a motivated and detail-oriented Cybersecurity Analyst to join our dynamic cybersecurity team. This role is pivotal in supporting the implementation and maintenance of cybersecurity practices across our 20+ global offices and over 650 vessels under management.

As a Senior Cybersecurity Analyst, you will lead efforts to fortify our defence systems by proactively identifying and addressing cybersecurity issues across people, processes, and technology.

This pivotal role enhances Fleet Management's commitment to superior digital security by designing and implementing robust security solutions and initiatives. Reporting directly to the Senior Manager, Cybersecurity, you will serve as a key driver in advancing our cybersecurity agenda and mentoring junior analysts to foster a culture of security excellence.

Key Roles and Responsibilities

Leading & Driving Cybersecurity Initiatives

• Coordinate and implement targeted cybersecurity enhancements to strengthen Fleet Management's security posture
• Collaborate with various teams to ensure successful execution of security projects that address identified risks and vulnerabilities
• Advocate for compliance with international cybersecurity standards and frameworks, enhancing Fleet Management’s security practices

Proactive Security Enhancements

• Perform in-depth analyses of current cybersecurity practices to pinpoint risks and vulnerabilities and recommend strategic improvements
• Design and implement sophisticated enhancements to Fleet Management's security practices, elevating resilience against evolving cyber threats
• Spearhead initiatives to embed security best practices into all business processes and IT projects, ensuring seamless integration

Advanced Threat Management and Intelligence

• Manage the continuous monitoring of security systems to swiftly detect and address potential threats, maintaining Fleet Management's defensive posture
• Lead the analysis of threat intelligence to proactively predict and mitigate potential breaches, setting preventive measures in place
• Provide expert guidance and communicate critical threat assessments to senior stakeholders, fostering informed decision-making

Relationship:

INTERNAL:

Internal Stakeholders & Teams – including up to Executive Directors

Ops & Support (based in HK & India)

Development & Analytics teams (based in HK & India)

EXTERNAL:

Managing vendors/third parties

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL:

• Minimum of 5 years of experience in cybersecurity or a related IT security field
• Minimum 3 years of hands-on experience with cybersecurity incidents response
• Minimum 3 years of hands-on experience with Microsoft Defender (XDR, Endpoint, M365, Cloud Apps, Identity), Intune, Sentinel and implementing Zero Trust security model.
• Demonstrated ability with the implementation and monitoring of cybersecurity policies and practices
• Experience with security best practices and tools in other cloud environments such as AWS, and Google Cloud (GCP)
• Experience with implementing modern security systems and tools such as NGFW and SASE.
• Good analytical skills and ability to work with complex security systems and software
• Ability to communicate effectively up to Director level in spoken and written English

DESIRABLE:

• Certifications such as Microsoft Security Operations Analyst Associate.
• Working understanding of international frameworks and standards such as ISO9000, 270001 and PCI/DSS
• Other Azure, AWS or GCP certifications
• Understanding of Maritime industry and OT systems context
• A bachelor's degree in Computer Science, Information Technology, or a related field

Competencies

• Analysis & Problem Solving: Uses a systematic approach to root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions to address the causes and reduce risk.
• Listening & Communicating: Is effective in communicating his vision with a wider audience. A good communicator knows when to use which channel, and which tone of voice in order to drive maximum impact.
• Collaboration, Inclusion & Teamwork: A good team player that is personable, friendly, polite and takes the time to know people. Helps new colleagues and visitors feel welcome. Mentors and encourages junior members.
• Customer Focus: Proactive in maintaining relationships and managing customer expectations effectively. Takes a partnership approach to solve problems and improve service standards using data to define continuous improvement.
• Planning & Organising: Uses the supplied tools for structured project planning for optimal time use. Balances competing priorities. Promptly updates people when plans change and keeps them apprised of progress. Adjusts own plans based on FML strategies and plans.
• Initiative: Always looks for opportunities to improve efficiency and effectiveness in their own and other peoples work backed by clear rationale and benefits to the business. Role models desired change behaviour and uses external best practice as reference.
• Accountability: Responsible for delivery own work without unnecessary supervision. Always demonstrates integrity and ethical behaviour being a role model for others. Invites constructive feedback adjusting actions accordingly. Thinks through mistakes made and finds ways to prevent reoccurrence.
• Resilience & Managing Wellbeing: Willing to take on additional unplanned urgent tasks when required without sacrificing performance standards. Knows how to prioritise and break down tasks and when to escalate.
• Adaptability: Seeks to understand the rationale for changes at Fleet looking for different perspectives to facilitate and positively contribute to the initiatives within the team and themselves.

Job Position Summary

An exciting and challenging opportunity has arisen for the position of Data Scientist to lead the Analytics team at Fleet shaping and driving forward the implementation of enhanced analytical capability.

The successful candidate will be responsible for leading the development and implementation of analytical models using the latest technology stack to assist operational decision working in close collaboration with Board-level stakeholders. Maritime is an industry going through significant disruption and the ability to leverage data to provide predictive and prescriptive analytics so this role is a critical part of using technology to help Fleet lead in this space.

This role is a key part of our focus to develop leading digital capability to enhance and improve our platforms deployed over 650 ships and over 25k+ seafarers.

Job Experience, Functional Knowledge and Qualifications

Leading Analytics Capability Development

• Plan and execute the development of analytics solutions from initial design to data sourcing/cleansing, model development/validation, implementation, prototyping and testing
• Utilising data mining techniques (including GenerativeAI) coupled with operational understanding, highlight opportunities for further investigation
• Develop and prioritise the roadmap for data science projects to align with overall business strategy

Stakeholder Management & Communication

• Working closely with stakeholders and end users to understand analytics needs, translate these into projects and determine how best to deliver actionable results
• Communicating clearly and concisely across all levels to gain buy-in to ideas and concepts
• Showcasing results and highlighting actionable insight in a simple to understand way

Team Working

• Working collaboratively with the rest of the IT team members – based onshore and offshore – to develop solutions delivered are high-quality and easy-to-support
• Being seen as a go-to expert for analytics providing guidance to both the IT team and the wider business

Relationship:

INTERNAL:

Development Teams (based in HK & India); Ops & Support (based in HK & India)

Internal Stakeholders – including up to Board-level directors

EXTERNAL:

Interaction with vendors/third parties;

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL

• 3+ years’ experience as a Data Scientist role – specifically in leveraging vast amounts of data with hands-on data science skills including advanced analytics such as Machine Learning and Generative AI
• A proven track-record in developing and delivering actionable insight that has resulted in real operational benefit
• Exposure and hands-on experience to a broad range of
• Cloud technologies (either in AWS or Google Cloud)
• Big Data & Database technologies (SQL, Spark, Hive, Presto, NoSQL, Graph Databases)
• Data Science Programming Frameworks (eg Python, R) and
• Data Visualization Tools (e.g. Tableau, QilkSense, PowerBI)
• Passion in data science, with solid foundation of the knowledge correct advisory on various tools such as Regression, Classification, Computer Vision, NLP, etc.
• Experience of coaching and mentoring of data science team members to achieve more
• Excellent communication and presentation skills in English
• Bachelors Degree in Data Science related such as Maths, Statistics, Engineering or similar

DESIRABLE

• Masters Degree in Data-Science related fields
• AWS and Tableau certifications
• Understanding of Maritime industry

Competencies

• Analysis & Problem Solving: Uses a systematic approach to root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions to address the causes and reduce risk
• Listening & Communicating: Is effective in communicating his vision with a wider audience. A good communicator knows when to use which channel, and which tone of voice in order to drive maximum impact.
• Collaboration, Inclusion & Teamwork: A great team player who pro-actively goes out there to encourage, support and recognise work performed by others. The person is always trying to find common ground to share his ideas and experience.
• Customer Focus: Proactive in maintaining relationships and managing customer expectations effectively. Takes a partnership approach to solve problems and improve service standards using data to define continuous improvement
• Planning & Organising: Uses technology and tools to drive effective project planning with projects having clear success criteria and milestones. Escalates in a timely manner and seeks feedback with all colleagues throughout the execution phase mitigating risks as they arise.
• Initiative: Always looks for opportunities to improve efficiency and effectiveness in their own and other peoples work backed by clear rationale and benefits to the business. Role models desired change behaviour and uses external best practice as reference.
• Accountability: Sets high work and ethical standards for self and others including budget management, work quality, timelines. Ensures that tasks and projects within responsibility areas meet promises made. Acknowledges mistakes openly identifying learnings to be applied.
• Resilience & Managing Well-being: Maintains continuing high-performance standards when under additional pressure, higher workload or in changing circumstances. Recovers quickly from setbacks or feedback, applying lessons learnt. Maintains composure in stressful situations.
• Adaptability: Takes a leadership role in supporting colleagues through business change initiatives. Identifies improvements in line with changing business strategies. Puts themselves in place of the people being impacted when implementing change
• Industry & Business Acumen: Keeps up with shipping industry and business trends for improvement. Contributes to plans and meetings with good grasp of company priorities. Evaluates metrics to identify work priorities and recommends viable improvement ideas
• Setting Direction & Planning: Develops clear plans and priorities for own work and team alignment. Aligns tasks and plans with business strategies and departmental KPIs. Balances work distribution fairly and shares progress with stakeholders.
• Including and Empowering the Team: Listens to all team members, empathises with concerns and looks for solutions. Shares knowledge and plans to help the team connect with wider strategies. Trusts and supports team members, focuses on their wellbeing and individual circumstances
• Developing Organisational and Team Capability: Takes time to understand team motivations, skills and aspirations. Creates targeted development plans covering both hard and soft skills. Recognises potential in team members and provides regular constructive feedback for development to accelerate their career growth
• Driving High Performance: Sets high standards, tackles poor performance and models values. Manage costs effectively, leads continuous improvement and aligns team behaviour. High-quality leadership is required with focus on quality, accuracy, and timeliness

Data Engineer

Our 29-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at FLEET, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background. We are looking for individuals who are ambitious about making a strong contribution to FLEET’s short and long-term sustainable growth – whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

Job Position Summary

An exciting and challenging opportunity has arisen for a Senior Data Engineer to lead efforts for developing new solutions for our in-house data analytics platform within our PARIS 2.0 ecosystem.

The successful candidate will be responsible for a key role in the delivery of robust, sustainable and flexible analytics solutions including Machine Learning capabilities to best meet strategic goals.

This role is a key part of Fleet’s focus to develop leading analytics capability to enhance and improve our platforms deployed on over 670 ships.

Job Experience, Functional Knowledge and Qualifications

As a Senior Data Engineer, your typical day might include:

Implementing Back-end cloud-based data lake/ data warehouse with best practices

• Working closely with the development team to build and deliver back-end data pipelining components following industry best-practices and in adherence with architectural principles
• Design, develop, and maintain scalable and efficient ETL/ELT data pipelines from various internal and external data sources
• Identify and gather business requirements to design data models to ensure data quality, integrity and performance
• Conduct thorough testing and validation of data pipelines to ensure accuracy, reliability, and data consistency

Deliver High-Quality Analytics Solutions

• Collaborate closely with data scientists and analysts, to understand needs and develop solutions that meet those requirements
• Troubleshoot and resolve data-related issues, perform root cause analysis, and implement preventive measures
• Create clear documentation for architectures, data dictionary, data mapping, and any other relevant technical information

Teamwork & Communication

• Stay up to date with emerging technologies, tools, and best practices in the field of data engineering and apply them to improve existing processes and systems
• Working collaboratively with the rest of the IT team members – based onshore and offshore – to ensure that solutions delivered are high-quality and easy-to-support
• Communicating clearly and concisely across all levels – facilitating design decisions with other IT stakeholders in simple terms

Relationship:

INTERNAL:

Development Teams (based in HK & India); Ops & Support (based in HK & India);

EXTERNAL:

Third-party vendors for interfacing Data Sources

Third-party Development Teams

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL

• 6+ years’ experience in a Data Engineering role using SQL and Python
• Strong understanding in data lake/ data warehouse design best practices and principles
• Practical hands-on experience in cloud-based data services for ETL, e.g. AWS, EMR, Airflow, Redshift, Glue
• Deployment experience and management of MLOps framework, e.g. AWS SageMaker, ECR
• Experience in distributed computing system, such as Spark, Hive, Hadoop
• Experience with Databases such as Postgres, MySQL, Oracle
• Strong communication skills in English – both in speaking and writing

DESIRABLE

• Experience in other cloud platform and hybrid cloud infrastructure, e.g. GCP, Azure
• Understanding in Machine Learning / Deep Learning
• Proficient in real-time, near real-time data streaming, e.g. Kafka, Spark Streaming, Pub/Sub

Competencies

• Analysis & Problem Solving: Uses a systematic approach to root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions to address the causes and reduce risk.
• Listening & Communication: Focuses on the individual they are communicating with. Writes and expresses thoughts clearly adjusting as necessary to the audience. Asks questions to clarify.
• Collaboration, Inclusion & Teamwork: A good team player that is personable, friendly, polite and takes the time to know people. Helps new colleagues and visitors feel welcome. Mentors and encourages junior members.
• Customer Focus: Understands the needs of the customer clarifying requirements and expectations. Adapts as necessary to changing requirements and is responsive, helpful with all requests. Sets high quality for service delivery.
• Planning & Organizing: Uses the supplied tools for structured project planning for optimal time use. Balances competing priorities. Promptly Updates people when plans change and keeps them apprised of progress. Adjusts own plans based on FML strategies and plans.
• Initiative: Always looks for opportunities to improve efficiency and effectiveness in their own and other peoples work backed by clear rationale and benefits to the business. Role models desired change behaviour and uses external best practice as reference.
• Accountability: Responsible for delivery own work without unnecessary supervision. Always demonstrates integrity and ethical behaviour being a role model for others. Invites constructive feedback adjusting actions accordingly. Thinks through mistakes made and finds ways to prevent reoccurrence.
• Resilience & Managing Wellbeing: Willing to take on additional unplanned urgent tasks when required without sacrificing performance standards. Knows how to prioritise and break down tasks and when to escalate.
• Adaptability: Seeks to understand the rationale for changes at Fleet looking for different perspectives to facilitate and positively contribute to the initiatives within the team and themselves.

Shortened Version

Senior Data Engineer

Job Position Summary

The successful candidate will be responsible for a key role in the delivery of robust, sustainable and flexible analytics solutions including Machine Learning capabilities to best meet strategic goals.

This role is a key part of our clients focus to develop leading analytics capability to enhance and improve our platforms deployed in the field.

Job Experience, Functional Knowledge and Qualifications

As a Senior Data Engineer, your typical day might include:

Implementing Back-end cloud-based data lake/ data warehouse with best practices

• Working closely with the development team to build and deliver back-end data pipelining components following industry best-practices and in adherence with architectural principles
• Design, develop, and maintain scalable and efficient ETL/ELT data pipelines from various internal and external data sources
• Identify and gather business requirements to design data models to ensure data quality, integrity and performance
• Conduct thorough testing and validation of data pipelines to ensure accuracy, reliability, and data consistency

Deliver High-Quality Analytics Solutions

• Collaborate closely with data scientists and analysts, to understand needs and develop solutions that meet those requirements
• Troubleshoot and resolve data-related issues, perform root cause analysis, and implement preventive measures
• Create clear documentation for architectures, data dictionary, data mapping, and any other relevant technical information

Job Experience, Functional Knowledge and Qualifications

ESSENTIAL

• 6+ years’ experience in a Data Engineering role using SQL and Python
• Strong understanding in data lake/ data warehouse design best practices and principles
• Practical hands-on experience in cloud-based data services for ETL, e.g. AWS, EMR, Airflow, Redshift, Glue
• Deployment experience and management of MLOps framework, e.g. AWS SageMaker, ECR
• Experience in distributed computing system, such as Spark, Hive, Hadoop
• Experience with Databases such as Postgres, MySQL, Oracle

DESIRABLE

• Experience in other cloud platform and hybrid cloud infrastructure, e.g. GCP, Azure
• Understanding in Machine Learning / Deep Learning
• Proficient in real-time, near real-time data streaming, e.g. Kafka, Spark Streaming, Pub/Sub

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