CHEP
Hardware Field Test Engineer - Manchester (Hybrid)
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HARDWARE FIELD TEST ENGINEER
CHEP (Brambles / BXB Digital)
About the Role
By combining state-of-the-art data science, cutting-edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent, and efficient supply chain. Our mission is to create value from massive, connected data—unmatched insights across over 300,000 supply chains, more than a million customers and partners, and over 300 million physical assets in global motion.
CHEP is part of Brambles Limited, the global leader in supply chain logistics solutions, operating across 60+ countries with operations centred in North America and Western Europe. We employ 14,500+ people and manage 550 million+ pallets, crates, and containers through a network of 850+ service centres. Brambles is listed on the Australian Securities Exchange (ASX) and headquartered in Sydney.
This role is critical for delivering data-driven insights to guide key IoT hardware business decisions, combining product testing validation with complex data analysis. The ideal candidate has a curiosity for uncovering insights or a strong interest in expanding expertise into this field.
Position Purpose
The Hardware Field Test Engineer will:
- Perform data analysis on IoT hardware during field testing/deployment activities.
- Support hardware performance testing/validation to inform business decisions.
- Execute complex data analyses, contribute to testing validation activities, and deliver actionable recommendations based on insights.
Scope
- Conduct or assist with IoT hardware testing and validation.
- Deepen understanding of IoT hardware functions to enhance data-driven analysis.
- Collaborate on executing testing/validation plans and reporting findings.
Key Accountabilities
- Develop expertise in key IoT hardware performance metrics.
- Develop, execute, analyse, and report on assigned test/validation activities.
- Serve as the team’s data analysis expert, leading detailed analyses and insight generation.
- Strengthen team proficiency in data analysis tools and methodologies.
- Document and report findings to Jira/Confluence or similar platforms for cross-team and stakeholder transparency.
- Present actionable reports (tables, graphs, visualisations) to international stakeholders and leadership.
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Core Challenges & Problem-Solving
- Partner effectively with globally distributed teams, driving dispersed efforts.
- Manage multiple concurrent projects efficiently across diverse datasets.
- Analyse structured and unstructured data, identifying patterns for IoT hardware health insights.
- Apply critical thinking to ad-hoc data scenarios while adapting to new testing methodologies.
- Learn foundational IoT hardware operations to enhance analysis depth.
- Effectively communicate technical and non-technical findings for tool-assisted, evidence-based decision-making.
Authority & Decision-Making
- Oversee budgeting, resource allocation, and collaborating with suppliers for assigned tests.
- Provide leadership to improve overall data analysis team capabilities.
- Validate and confirm successful achievement of IoT test/validation core criteria for stakeholders.
Key Contacts
- Technical Program Manager for hardware testing and validation.
- Edge hardware subject matter experts (SMEs) and cross-team battery QA members.
Qualifications & Requirements
Must-Have
- Experience in developing and analysing test/validation plans in a product or hardware context (or a strong willingness to learn).
- A self-starter with a keen, inquisitive approach and an eagerness to explore ‘why’—applied to analysing IoT hardware functionality.
- Strong SQL proficiency—extracting, querying, and loading data for analysis.
- Advanced Excel skills (e.g., pivot tables, data modelling, advanced functions) for statistical and advanced analysis.
- Ability to analyse various data sets, uncover patterns, trends, or performance indicators, and derive corrective action/validation for IoT hardware.
- Assembling comprehensive visualisations (key metrics, dashboards, graphs) to aid data-backed recommendations.
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Desirable
- Experience training others to utilise data analysis tools on entry-to-intermediate level.
- Exposure to automating repetitive data analysis tasks (per Python or similar tools).
- Bonus if knowledgeable in:
- Data visualisation tools (e.g., Power BI, Tableau),
- Programming languages (Python, R, Java),
- ETL frameworks (e.g., Apache Spark, Airflow),
- Statistical testing validity methods (variance analysis, sample size determination, hypothesis testing—or willingness to upskill).
Experience
- 3+ years in data analytics, turning insights into actionable recommendations.
- 2+ years of experience clear effective in communicating (verbal/written) insights to both technical and non-technical audiences.
- 1+ year specialising in concrete data analysis of IoT hardware equipment/devices (where operational performance data had to be captured, analysed, and translated).
Skills & Knowledge
- Exceptional teamwork and collaborative abilities to thrive in a fast-paced, cross-functional environment.
- Curiosity to learn about IoT hardware fundamentals to cross-pollinate with analytical efforts.
- Efficient SQL querying, with practical exposure to Python/R for deeper analysis (plus for competitive advantage).
- Proficient at translating complex datasets into metrics-driven reports/displays.
- Strong communication and storytelling skills adapted to technical and non-technical stakeholders.
Compensation & Offer
The salary range for this position is £48,000–£66,000/year, factoring in skills, experience, location, and performance. Beyond base pay, discussing with our Talent Acquisition Partner: flexible compensation, bonuses, and non-monetary benefits may be included.
Prospective candidates: discuss specific roles with your Recruitment Contact for the full range of benefits and customised offerings, including future career growth within the supply chain innovation field.
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