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• A higher education in IT, Engineering, or similar
• Proficiency in either Java, C#, or Kotlin
• For those wishing to focus on frontend development, experience with React, Vue or Angular
• Experience with cloud platforms such as Azure, Google Cloud or AWS
• Experience working with the development of systems, applications and services

• Terraform for Azure infrastructure automation
• GitHub Actions and CI/CD pipeline design
• Azure Private Link and Private Link Service configuration
• Databricks and Unity Catalog for data governance
• Azure Policy and compliance enforcement
• Identity and access management (OAuth, federated credentials)
• Azure security best practices including BCDR and high availability
• Cost management and optimisation strategies within Azure

What you'll do

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  Lead the design and delivery of .NET-based microservices running on Azure (experience with AWS or GCP is also valuable).
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  Architect and implement scalable cloud-native solutions that power intelligent farming equipment and ecosystems.
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  Collaborate closely with product owners, data scientists, and hardware engineers to turn complex requirements into robust, maintainable systems.
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  Drive ML/AI initiatives, bringing smart automation and predictive analytics into the core of farming technology.
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  Champion the use of AI-powered developer tools (e.g., Cursor, Claude, Copilot) to improve developer experience, code quality, and delivery speed.
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  Act as a bridge between technical teams and stakeholders, ensuring solutions meet both business and field-level needs.
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  Mentor engineers, set best practices, and lead by example in modern engineering processes.

What we're looking for

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  Strong experience with the .NET stack and modern microservices architectures.
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  Hands-on expertise in Azure cloud services (or transferable knowledge from AWS/GCP).
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  Proven ability to lead cross-functional engineering initiatives, from conception to production.
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  Background working with data-driven solutions, AI/ML integration, or IoT systems is highly desirable.
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  Experience in improving developer experience using modern tooling and AI assistants.
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  Excellent communication and stakeholder management skills, you can translate between business needs and technical delivery.

Why join us?

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  Shape the future of sustainable agriculture with breakthrough tech.
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  Work in a dynamic, innovative environment where hardware, software, and AI intersect.
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  Lead initiatives that have a real-world impact on food production and global efficiency.
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  Competitive package, growth opportunities, and the chance to make your mark in a rapidly growing sector.

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Apply test-driven development principles for data quality and schema validation.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular, reusable transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools such as Airflow or dbt Cloud.
• Configure and optimise Snowflake warehouses for performance and cost efficiency.

• 7+ years in data engineering roles.
• 3+ years hands-on experience with Snowflake.
• 2+ years production experience with dbt (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with dbt Cloud and custom macros.
• Exposure to real-time streaming (Kafka, Kinesis).
• Familiarity with data observability tools and BI integrations (Tableau, Power BI).

• Opportunity to work with modern data technologies and large-scale architectures.
• Professional development and certification support.
• Collaborative, engineering-focused culture.
• Competitive salary and benefits package.

• Lead delivery of GCP-based data platform projects, ensuring strategic alignment and timely execution
• Coordinate cross-functional teams including data engineers, architects, QA, and DevOps
• Manage project phases from design through deployment, maintaining delivery velocity and quality
• Facilitate retrospectives and feedback sessions to drive continuous improvement
• Collaborate with architects to evolve technical roadmaps and ensure platform scalability
• Maintain transparent communication with stakeholders and PMO, identifying risks early
• Champion Agile methodologies and governance frameworks across delivery streams
• Mentor team members and promote a culture of accountability and collaboration

• 10+ years in technology delivery, data engineering, BI, or architecture
• Minimum 3 years as a Delivery Lead or Technical Lead for cloud data projects (GCP preferred)
• Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models
• Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub
• Knowledge of modern data architectures including lakehouse, ELT, and schema design
• Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC
• Excellent leadership, communication, and stakeholder management skills
• Bachelor's degree required; Master's preferred

• Building and maintaining robust backend applications using C# and .NET 6/7+
• Designing REST APIs, microservices, and background services for scalable performance.
• Collaborating with hardware teams, data scientists, and product engineers to build cohesive solutions.
• Ensuring high standards of code quality, testing, and long-term maintainability
• Participating in architecture discussions and contributing to technical strategy.
• Continuously optimizing the performance and reliability of mission-critical applications.

• Strong hands-on experience with C# and the modern .NET ecosystem.
• Solid understanding of object-oriented design, software architecture, and best practices.
• Familiarity with SQL Server, PostgreSQL, or other relational databases.
• Experience working with Git and modern CI/CD pipelines.
• A proactive mindset, willingness to collaborate, and the ability to work across disciplines.

• Experience integrating with physical devices or hardware systems.
• Knowledge of distributed systems, event-driven architectures, or real-time data flows.
• Familiarity with containerization, DevOps, or cloud-based infrastructure.
• Exposure to scripting or prototyping tools like Python.

• Deliver, implement, and support IT infrastructure such as system, server and network.
• Provide 2nd/3rd line support via call, email, in person/remotely or ticket system with clients per SLA and average response times
• Handle network, desktop/server hardware and software, and application systems for incidents and problem resolution
• Offer remote or onsite IT support when required

• Diploma or above with major in Computing / Information Technology or related disciplines.
• Experience in technical support and 2nd/3rd line support experience in infrastructure field
• Familiar with MS Windows platforms, Office 365, Azure Active Directory, Outlook, Exchange Server.
• Experience working with Cisco Firewall/switches
• Knowledge with virtualization software e.g. Hyper-V, VMware
• Understanding of networking concepts: LAN/WAN, DHCP, DNS, Routing, TCP/IP
• Proficiency in written and spoken English and Cantonese
• Candidate who able to start immediately will be highly advantageous