Tech Onboarding Engineer for IFS Logistics, a six‑month fixed‑term engagement focused on integrating carriers and providers into the IFS Logistics platform.
Responsibilities
Connect new carriers and providers through APIs and file feeds, including credentials, testing and go‑live support.
Map, clean and validate customer ERP exports, shipment files and invoices into our data model.
Own onboarding tasks for named customers against clear delivery dates.
Support the Product Operations team as they onboard customers and handle master data management.
The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical.
Responsibilities
Collaborate proactively with a distributed team
Write high-quality, idiomatic Python code to create new features
Debug issues and interact with upstream communities publicly
Work with helpful and talented engineers including experts in many fields
Discuss ideas and collaborate on finding good solutions
Lead teams focused on Big Data and MySQL databases, building scalable data solutions for Kubernetes and cloud machines.
Compensation
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation.
Responsibilities
Lead a team building scalable data solutions for Kubernetes and cloud machines
Hire, coach, mentor, provide feedback, and lead your team by example
Demonstrate sound engineering skill by directly contributing code when needed
Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
Advocate modern, agile software development practices
Lead multiple engineering teams focused on business data systems, integrations, and data mesh solutions.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission.
Responsibilities
Lead multiple teams of engineers, ranging from graduates to seniors
Develop engineering managers to maintain Canonical culture
Evangelize engineering practices and processes
Set and implement performance management
Identify and measure team health indicators
Requirements
Bachelor's degree in a technical subject or equivalent
The Senior Pricing Systems & Insights Analyst plays a critical role in ensuring the reliability, efficiency, and accuracy of pricing systems and data that drive decisions across global markets.
Responsibilities
Own meaningful system change: Lead enhancements, testing, and deployment for pricing tools
Collaborate Globally: Work closely with the Global Pricing Team and partner directly with the APAC Pricing Manager, as well as stakeholders across MET and EMEA regions
Drive profitability with insight: Blend analytics and domain expertise to surface actionable recommendations that affect both near‑term trading and longer‑term pricing strategy
Continuously improve operations: Use modern data and automation practices to streamline processes, reduce manual effort, and lift service levels
Ensure System Uptime: Maintain high availability of pricing systems and dynamic pricing processes during APAC hours
Requirements
Tertiary qualifications in Business, Finance, Economics, or a related field
Support healthcare data initiatives through analysis, validation, and quality assurance.
Responsibilities
Perform data analysis, validation, and reconciliation of healthcare datasets using SQL and Excel.
Support data standardization, mapping, and development of business and medical data rules and logic.
Investigate data-related issues, identify root causes, and coordinate with relevant teams towards resolution.
Collaborate with internal and external stakeholders to clarify data needs and communicate findings.
Maintain documentation and contribute to improvements in data quality and data management practices.
Requirements
Degree or equivalent qualification in Data Science, Data Analytics, Health or Medical Informatics, Biomedical Science, Public Health, Statistics, Information Systems, Medicine, Health Sciences, or related fields.
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