Data Engineer, Engineering Analytic Hub in Sydney

Data Engineer, Engineering Analytic Hub in Sydney

Sydney Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Transform raw data into actionable insights and optimise supply chain operations.
  • Company: Join DSV, a global leader in transport and logistics.
  • Benefits: Collaborative culture, career growth, and opportunities for technical upskilling.
  • Other info: Work in a supportive team that values curiosity and innovation.
  • Why this job: Make a real impact on regional supply chains with innovative data solutions.
  • Qualifications: Bachelor's degree in relevant fields and 5+ years of data processing experience.

The predicted salary is between 63000 - 77000 $ per year.

Are you passionate about putting customers first, delivering the best performance, and fostering true collaboration to keep the supply chains flowing?

Join us and be a part of DSV's global family.

DSV Solutionsis seeking to hire a skilled and passionate Data Engineer, Engineering Analytic Hubin AUS - Len Waters Estate, Aviation Road

Do you get excited about operational efficiencies, complex data mapping, and shaping next-generation warehouse solutions?

If you thrive on taking raw data sets from initial concept all the way through to tactical operational insights, we have the perfect role for you.

  • What You'll Be Doing
  • Data Competencies: Master data mapping and linkage between multiple data types (Master data, Transactional data, etc.) within a complex warehousing environment.
  • Data Processing Discipline: Execute end-to-end data processing workflows, covering collection, detailed cleansing, translating, engineering, and final analysis.
  • Advanced Data Refinement: Identify data variances, duplications, abnormalities, and mismatches; structurally clean data sets via close alignment with operation owners.
  • Data Translation & Modelling: Build data structures, formulate data models, and create customized output templates tailored to specific requester requirements.
  • Solutioning & Recalculation: Leverage analyzed data to re-calculate pre-work operational resource models (FTEs, MHE, and space constraints) whenever operational processes or volumes shift.
  • Data Storytelling: Provide high-level summaries and actionable insights from data processing, converting complex, data-intense outcomes into plain language for stakeholders.
  • Compliance & Standards: Maintain absolute data integrity while complying with safe work practices, OHS policies, and sustainability protocols to limit waste.
  • What You'll Bring
  • Education: Bachelor's degree in Statistics & Mathematics, Computer Sciences, Business Analytics, or Business Administration (Postgraduate degree is an advantage).
  • Experience: 5+ years of professional experience in data processing and data analysis, preferably in an international logistics service environment or supply chain business function.
  • Technical

Proficiency: Solid analytical capabilities with an excellent grasp of data processing methodologies; elite proficiency in Microsoft Office (Excel formulas, pivoting, Power Query, Power Pivot, and VBA/Macros).

  • Skills & Execution: Highly structured delivery approach, proactive curiosity to uncover the business questions behind data requests, strong organizational habits, and excellent written and spoken English.
  • Flexibility: Ability to operate under own initiative with minimal supervision, with minimal travel requirements ( Bonus Points If You Have
  • Practical experience or background with basic programming/coding languages (Power Apps, Python, or equivalent).
  • Intercultural working experience or background in international contract logistics.
  • Basic technical knowledge of physical warehouse or supply chain operational processes.

Why Join Us?

  • Play a critical, foundational role in building the data infrastructure that transforms regional supply chains.
  • Work in a collaborative, centralized hub that bridges deep analytical logic with real-world logistics applications.
  • Enjoy a supportive team dynamic that actively champions proactive curiosity and technical upskilling.
  • Collaborate with passionate, forward-thinking professionals who value innovation and data-driven strategy.

Ready to Engineer What's Next?

If you're the type of person who gets excited by efficiency gains, data optimization opportunities, and turning complex numbers into simple solutions, we'd love to hear from you.

DSV – Global transport and logistics

What moves you?

At DSV, we move more than goods. We move careers, ambitions and opportunities.

With close to 150,000 colleagues in over 90 countries, we are the global leader in transport and logistics, and it is our people who bring our services and solutions to life every day.

From frontline operations to business functions, every role contributes to keeping supply chains flowing and societies running.

Here, you are trusted to take ownership, act on your ideas and make decisions that create real impact.

It is a place where people, careers and ideas keep moving forward.

We value transparency in how we communicate and collaborate, and we win together by supporting each other, challenging each other and delivering results as a team.

Start here. Go anywhere

This is our promise of movement. A promise that your work matters, your contribution counts, and your career can move as far as your ambition takes it.

If you are looking to make an impact, grow your career and be part of something bigger, DSV is the place to be.

Visit dsv. com and follow us on Linked In, Instagram and Facebook

Data Engineer, Engineering Analytic Hub in Sydney employer: Panalpina

At DSV, we pride ourselves on being a global logistics leader that values teamwork, accountability, and continuous improvement. As a Supervisor in Melbourne Airport, you'll not only lead a dedicated team but also enjoy a supportive work culture that fosters personal and professional growth, ensuring you have the tools and opportunities to excel in your career while delivering exceptional customer service.

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Contact Details:

Panalpina Recruitment Team

We think you need these skills to ace Data Engineer, Engineering Analytic Hub in Sydney

Data Mapping
Data Processing Workflows
Data Cleansing
Data Engineering
Data Modelling
Data Analysis
Data Storytelling