BMS Technician — Sydney / Newcastle

Our client is a well-established, 100% Australian-owned building and energy management specialist, recognised as an industry pioneer in open-protocol (BACnet) building automation systems. With a strong track record delivering BMS solutions across government, healthcare, defence, and commercial sectors, they are expanding their NSW service capability and are looking for a BMS Technician to join the team in Sydney or Newcastle.

About the Role
You'll be responsible for the servicing, commissioning, and troubleshooting of Building Management Systems across a portfolio of commercial, healthcare, and government sites. This is a hands-on, field-based role suited to a technician who takes pride in getting systems running right and keeping clients happy.

Key Responsibilities

• Service, maintain, and troubleshoot BMS/BEMS installations across NSW client sites
• Commission new BMS installations and integrate with mechanical services (HVAC, chilled water, AHUs, etc.)
• Diagnose and repair controls faults, working to open-protocol (BACnet) and multi-vendor platforms
• Liaise directly with clients and site staff, providing a high standard of technical support and service
• Complete accurate service reports and documentation in line with company quality processes

What We're Looking For

• Trade background in electrical, instrumentation & control, HVAC, or a related field
• Demonstrated hands-on BMS/controls experience (e.g. Tridium Niagara, Trend, Trane, Distech, or similar platforms)
• Comfortable working autonomously across multiple sites
• Strong communication skills and a customer-focused approach
• Relevant licences/tickets (electrical licence, EWP, working at heights, etc. highly regarded)
• Experience in commercial, healthcare, or government facilities is a plus

What's on Offer

• Join a well-established, Australian-owned industry leader with a genuine reputation for quality and service
• Supportive team environment with long-serving, experienced colleagues
• Vehicle, tools, and ongoing training/certification support
• Opportunity to work across a varied portfolio of high-profile sites

If you're a BMS technician looking to step into a hands-on, field-based role with a company that backs its people, we'd love to hear from you.

Edison Smart is partnering with a growing technology business to hire a Data Integration Engineer.

You’ll join a technical team responsible for connecting complex external systems with a modern data platform, building reliable integrations capable of handling high-volume and business-critical data.

The role will suit someone with strong software engineering and integration experience who enjoys solving complex connectivity and data ingestion challenges.

Responsibilities

• Design, build and maintain integrations across external platforms and enterprise systems.

• Develop scalable ingestion pipelines supporting both batch and real-time data.

• Build robust APIs, connectors and integration services.

• Work closely with data engineering teams to transform incoming data into consistent, trusted datasets.

• Implement resilient error handling, retry and recovery mechanisms.

• Develop monitoring and alerting around integration performance and availability.

• Troubleshoot complex integration and data-flow issues.

• Improve automation, scalability and reliability across integration processes.

• Work with internal and external technical teams to onboard new data sources.

• Take ownership of integrations throughout their production lifecycle.

Technical Experience

• Strong programming experience with Python, Java or comparable backend technologies.

• Experience building production-grade integrations and data ingestion services.

• Strong knowledge of REST APIs, with exposure to SOAP, GraphQL and webhooks.

• Understanding of modern authentication and authorisation standards including OAuth2 and JWT.

• Experience with API management or gateway technologies.

• Experience integrating with enterprise platforms such as ERP, CRM or other third-party systems.

• Knowledge of event-driven architectures and message brokers such as Kafka or RabbitMQ.

• Understanding of batch and streaming data patterns.

• Experience with modern CI/CD and automated deployment practices.

• Strong understanding of reliability, monitoring and error handling within distributed systems.

What We're Looking For

You’ll be an integration engineer who enjoys making complex systems communicate reliably. You should be comfortable dealing with inconsistent data sources, external dependencies and production-critical integrations while taking ownership of problems through to resolution.

Experience within financial technology, enterprise software, financial services or other integration-heavy environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Data Engineer.

You’ll join a technical team responsible for building scalable data infrastructure supporting analytics, machine learning and data-driven products.

The role will suit someone with strong cloud data engineering experience who enjoys building reliable, high-performance pipelines and modern data platforms.

Responsibilities

• Design and build scalable ETL and ELT pipelines across cloud-based data environments.

• Develop and maintain modern data lake and warehouse architectures.

• Build data infrastructure supporting both real-time and batch processing.

• Develop robust data models and transformation frameworks.

• Work closely with machine learning and analytics teams to deliver high-quality, production-ready datasets.

• Implement data quality, validation and governance processes.

• Optimise pipelines and data workloads for performance and scalability.

• Build automated processes to improve reliability and reduce manual intervention.

• Support monitoring, troubleshooting and recovery across production data pipelines.

• Take ownership of data infrastructure throughout its lifecycle.

Technical Experience

• Strong data engineering experience within Azure or comparable cloud environments.

• Hands-on experience with Databricks, PySpark and Delta Lake.

• Experience building and maintaining ETL/ELT pipelines.

• Strong understanding of modern data lake and data warehouse architectures.

• Experience with Snowflake, Synapse or comparable data platforms.

• Experience with streaming technologies such as Kafka, Event Hubs or Spark Streaming.

• Advanced SQL skills, including query optimisation and performance tuning.

• Experience with data versioning, governance and quality frameworks.

• Exposure to Infrastructure as Code using Terraform or similar technologies.

• Strong understanding of scalable and distributed data processing.

What We're Looking For

You’ll be a hands-on data engineer who cares about reliability, automation and data quality. You should be comfortable taking ownership of production pipelines, solving complex data problems and building infrastructure that can scale alongside a growing technology platform.

Experience within financial technology, financial services, high-volume transactional platforms or other data-intensive environments would be advantageous.

Edison Smart is partnering with a growing technology business to hire a Data Analyst with strong SQL and analytics experience.

You’ll work across data, product and machine learning teams, turning complex datasets into clear metrics, reporting and actionable insights.

The role will suit someone who combines advanced SQL capability with strong commercial thinking and can translate technical data into information that stakeholders can actually use.

Responsibilities

• Develop advanced SQL queries to generate business-critical KPIs, metrics and reporting.

• Build and maintain dashboards for internal and external stakeholders.

• Work with machine learning teams to translate model outputs into clear, actionable insights.

• Partner with product teams to define and improve performance and operational metrics.

• Analyse large datasets to identify trends, anomalies and opportunities.

• Ensure reporting and KPIs are accurate, reproducible and traceable to underlying data.

• Support ad-hoc analysis across product, operations and customer-facing teams.

• Develop scalable reporting processes and reduce manual analysis.

• Communicate complex findings clearly to both technical and non-technical stakeholders.

Technical Experience

• Advanced SQL / T-SQL experience, including stored procedures, CTEs, window functions and query optimisation.

• Strong experience with BI and data visualisation platforms such as Power BI, Tableau or Looker.

• Experience working with modern data warehouse or data lake environments.

• Understanding of machine learning workflows and the ability to interpret model outputs.

• Python or R experience for data analysis and automation.

• Strong understanding of statistics, KPI development and analytical methodologies.

• Experience working with large, complex datasets.

• Ability to translate business requirements into measurable data and reporting frameworks.

What We're Looking For

You’ll be a data analyst who cares about accuracy, usability and the commercial impact of your work. You should be comfortable taking ownership of metrics, questioning the data and working across multiple teams to establish reliable sources of information.

Experience within financial technology, financial services, high-volume transactional businesses or other data-intensive environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire an Applied ML Scientist.

You’ll join a technical team developing machine learning models that support complex, data-driven decision-making across a high-volume platform.

The role will suit someone who combines strong applied machine learning expertise with a practical mindset around getting models into production and measuring their real-world performance.

Responsibilities

• Design, develop and optimise machine learning models for prediction, classification and risk-based use cases.

• Apply advanced ML techniques to complex behavioural and transactional datasets.

• Explore graph-based machine learning approaches to identify relationships and patterns across large datasets.

• Develop robust feature engineering and model evaluation frameworks.

• Work closely with engineering teams to productionise models and integrate them into applications and services.

• Monitor model performance, drift and effectiveness in production.

• Develop approaches to model explainability, transparency and fairness.

• Run experiments and continuously improve models based on production results.

• Evaluate new machine learning techniques and technologies.

• Take ownership of models throughout the full lifecycle from experimentation to production.

Technical Experience

• Strong applied machine learning experience using Python.

• Hands-on experience with PyTorch, TensorFlow, scikit-learn or comparable ML frameworks.

• Experience working with graph-based data or graph machine learning would be advantageous.

• Strong feature engineering experience across large and complex datasets.

• Experience productionising and managing machine learning models.

• Exposure to MLOps tooling and model lifecycle management.

• Strong SQL and data manipulation skills.

• Experience working with large-scale data processing technologies.

• Understanding of model explainability techniques such as SHAP, LIME or similar.

• Experience working within cloud-based machine learning environments.

What We're Looking For

You’ll be an applied ML specialist who is interested in solving real-world problems rather than developing models purely for research. You should be comfortable experimenting, challenging assumptions and working closely with engineers to turn successful models into reliable production systems.

Experience within financial technology, risk, high-volume transactional platforms or other data-intensive environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Real-Time Analytics Engineer.

You’ll join an engineering team building high-performance data infrastructure capable of processing and analysing large volumes of events in real time.

The role will suit someone with strong streaming and distributed systems experience who enjoys solving complex problems around latency, scalability and reliability.

Responsibilities

• Design and build scalable real-time data processing platforms.
• Develop high-throughput, low-latency streaming pipelines.
• Build systems capable of processing and reacting to events in real time.
• Develop data services supporting analytics, automation and intelligent decision-making.
• Work closely with backend and platform engineering teams to integrate real-time data across applications.
• Optimise streaming workloads for performance, reliability and scalability.
• Build monitoring and observability around critical data pipelines.
• Improve fault tolerance and recovery across distributed systems.
• Evaluate new technologies and architectures for real-time processing.
• Take ownership of services from development through to production.

Technical Experience

• Strong experience building real-time or event-driven data systems.
• Hands-on experience with Kafka, Pulsar, Event Hubs or comparable streaming technologies.
• Experience with stream processing technologies such as Spark Streaming, Flink or similar.
• Strong programming skills in Python, Scala or Java.
• Understanding of distributed systems and event-driven architecture.
• Experience designing high-throughput, low-latency data pipelines.
• Knowledge of complex event processing would be advantageous.
• Experience working with time-series or high-volume data stores.
• Strong understanding of production monitoring and observability.
• Experience working with cloud-native environments.

What We're Looking For

You’ll be an engineer who cares about performance, reliability and engineering quality. You should be comfortable working with large-scale data flows, identifying bottlenecks and designing systems where speed and availability are critical.

Experience within high-volume transactional, financial technology, data-intensive or similarly demanding environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Platform Engineer with strong DevOps and Site Reliability Engineering experience.

You’ll work across cloud infrastructure, deployment automation and production reliability, helping build and operate the foundations supporting a modern, highly available technology platform.

This is a hands-on engineering position with significant ownership across infrastructure, automation and production environments.

Responsibilities

• Build and maintain scalable, highly available cloud infrastructure.
• Develop and improve automated build, deployment and release processes.
• Manage containerised workloads and orchestration environments.
• Build infrastructure through Infrastructure as Code and automation.
• Improve platform reliability, resilience and operational performance.
• Develop monitoring, alerting and observability across production systems.
• Work closely with software engineering teams to improve deployment and operational practices.
• Support incident response, root-cause analysis and preventative engineering.
• Strengthen infrastructure security and access controls.
• Identify opportunities to reduce manual processes through automation.
• Take ownership of platform reliability throughout the production lifecycle.

Technical Experience

• Strong experience within Platform Engineering, DevOps or Site Reliability Engineering.
• Production experience with a major public cloud platform, ideally Azure.
• Strong knowledge of Kubernetes, Docker and containerised environments.
• Experience designing and maintaining modern CI/CD pipelines.
• Strong Infrastructure as Code experience using Terraform, Pulumi or similar technologies.
• Experience with monitoring, metrics, logging and distributed observability.
• Understanding of secrets management and secure infrastructure practices.
• Strong scripting and automation skills using Python, Bash, PowerShell or similar.
• Experience supporting highly available production systems.
• Good understanding of incident management, reliability engineering and root-cause analysis.

What We're Looking For

You’ll be an engineer who enjoys taking ownership of infrastructure rather than simply maintaining it. You should be comfortable operating in production environments, solving complex reliability problems and building automation that enables engineering teams to move quickly without compromising stability.

Experience within high-growth, high-availability or regulated technology environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Backend Engineer specialising in APIs and microservices.

You’ll join a high-performing engineering team building secure, scalable backend services and integration layers for a sophisticated financial technology platform.

This is a hands-on engineering role with real ownership. You’ll be expected to take responsibility for what you build from initial design through to production.

Responsibilities

• Design and build secure, highly available APIs and backend services.
• Develop scalable microservices supporting complex financial and data workflows.
• Build integrations with external platforms, partners and third-party services.
• Work closely with DevOps and platform teams to improve deployment speed and reliability.
• Design services with resilience, scalability and performance in mind.
• Implement strong authentication and authorisation across APIs and services.
• Improve application observability, monitoring and logging.
• Support reliable deployments and zero-downtime upgrades.
• Troubleshoot production issues and continuously improve platform performance.
• Take ownership of services throughout their full lifecycle.

Technical Experience

• Strong backend engineering experience with Node.js, Java/Spring Boot or .NET Core.
• Strong understanding of microservices and distributed system architecture.
• Experience designing and building REST APIs, with exposure to GraphQL and/or gRPC advantageous.
• Strong knowledge of modern authentication and authorisation standards including OAuth2, OpenID Connect and JWT.
• Experience building cloud-native applications, ideally within Azure or a comparable cloud environment.
• Strong experience with relational and/or NoSQL databases.
• Experience with caching and high-performance data layers.
• Understanding of containerisation and Kubernetes-based environments.
• Experience implementing logging, monitoring, tracing and application observability.
• Understanding of CI/CD and modern software delivery practices.

What We're Looking For

You’ll be a backend engineer who cares about engineering quality, reliability and ownership. You should be comfortable working in a fast-moving environment where engineers are expected to make technical decisions and remain accountable for their services in production.

Experience within fintech, banking, payments, lending or other high-volume transactional platforms would be highly advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Security & Compliance Engineer.

This is a hands-on position responsible for strengthening security across cloud infrastructure, applications and engineering practices while supporting the organisation's regulatory and compliance requirements.

You’ll work closely with engineering and technology leadership to embed security throughout the development lifecycle and continuously improve the organisation's overall security posture.

Responsibilities

• Drive security and compliance initiatives across a regulated technology environment.
• Embed security best practices throughout engineering and product development.
• Conduct penetration testing, vulnerability assessments and security reviews.
• Perform application and code-level security assessments.
• Strengthen cloud security, access controls and identity management.
• Develop security monitoring, detection and incident-response capabilities.
• Support industry security and data-protection standards.
• Establish best practices around encryption, tokenisation and key management.
• Work directly with engineers to improve secure development practices.
• Identify security risks and take ownership of remediation.

Technical Experience

• Strong application and cloud security experience.
• Experience working within fintech, payments, banking or another regulated environment.
• Knowledge of recognised security and compliance frameworks such as PCI-DSS and ISO 27001.
• Strong understanding of cloud security, ideally within Azure environments.
• Experience with Identity & Access Management.
• Hands-on penetration testing and vulnerability-management experience.
• Experience with SIEM, security monitoring and incident detection.
• Strong understanding of secure SDLC and secure coding principles.
• Knowledge of encryption, tokenisation, secrets and key management.
• Exposure to financial-services regulation within the GCC is advantageous.

What We're Looking For

A hands-on security professional who can operate effectively within a fast-moving engineering environment. You’ll be comfortable working directly with technical teams, identifying risks and taking ownership of implementing practical solutions.

Edison Smart is partnering with a global technology business building advanced AI and data products designed to transform how scientific and R&D teams discover, analyse and utilise complex technical information.

We are looking for a Senior Data Scientist to join its Singapore R&D team, working at the intersection of Data Science, AI/ML and Materials/Chemical Science.

You’ll work with multidisciplinary teams across Data Science, AI, Engineering and Product to develop intelligent systems capable of extracting insights from complex scientific datasets and accelerating materials research and discovery. The underlying work includes AI/ML/LLM techniques, materials data, patents and scientific information.

What You’ll Be Doing

• Develop and apply AI/ML and data science techniques to complex scientific and materials datasets.
• Build models and analytical approaches for extracting insights and predicting material properties.
• Work with large, diverse datasets across materials science, chemistry and scientific literature.
• Explore and integrate new scientific data sources while improving data quality and usability.
• Apply modern LLM/AI techniques to materials intelligence and scientific discovery.
• Partner with Product, Engineering and domain specialists to turn research challenges into scalable products.
• Contribute to the development of next-generation AI-powered R&D platforms.

What We’re Looking For

• Master’s or PhD in Materials Science, Chemistry, Physics, Chemical Engineering or a closely related discipline.
• Strong experience applying Data Science / AI / Machine Learning to scientific problems.
• Strong programming and analytical capability.
• Experience with data preprocessing, curation and complex scientific datasets.
• Understanding of materials science and/or chemistry.
• Exposure to LLMs, cheminformatics, materials informatics or cloud technologies would be advantageous.