Data Platform and Solutions Engineer in Melbourne

Data Platform and Solutions Engineer in Melbourne

Melbourne Full-Time 90000 - 110000 $ / year (est.) On-site
B

At a Glance

  • Tasks: Build and optimise data platforms, pipelines, and products for actionable insights.
  • Company: Join Bed Bath N' Table, a family-owned Aussie business passionate about home lifestyle.
  • Benefits: Enjoy a supportive culture, innovative tech exposure, and career growth opportunities.
  • Other info: Collaborative environment with a focus on accountability, integrity, and teamwork.
  • Why this job: Make a real impact by shaping data solutions that drive innovation and smarter decisions.
  • Qualifications: Experience in cloud-based data platforms, SQL, Python, and data architecture.

The predicted salary is between 90000 - 110000 $ per year.

Data Platform & Solutions Engineer

Who We Are

Bed Bath N' Table is an Australian owned family run business where helping our customers to create their dream home is our specialty and our passion.

With over 180 stores in every state and territory of Australia and key location stores throughout New Zealand and Singapore, our team of driven and inspired people are the biggest part of our exciting journey to becoming a full home lifestyle destination for our customers.

About the role

This is an opportunity to build and shape BBNT’s enterprise data capability.

As the Data Platform & Solutions Engineer, you’ll define the data roadmap, design scalable solutions, and transform data from across the business into trusted, actionable insights.

Reporting to the Head of IT, you'll build and optimise data platforms, pipelines and products that support operational decision-making, advanced analytics and emerging AI initiatives.

This hands-on role offers the autonomy to drive change, implement modern data solutions and deliver measurable business impact.

  • Data Strategy, Architecture & Delivery
  • Shape and deliver BBNT's data roadmap and platform strategy.
  • Define and evolve scalable data architecture, integration standards and enterprise data products.
  • Design and deliver reusable data products, semantic models and trusted datasets that support reporting, operational processes and decision-making.
  • Partner with stakeholders to translate business priorities into practical data solutions that deliver measurable value.
  • Data Engineering, Quality & Governance
  • Build and support data pipelines, integrations, datasets and services across the enterprise.
  • Establish data standards, metadata, lineage, governance controls and data contracts to ensure trusted and accessible data.
  • Implement data quality, security and compliance frameworks that support reliable business outcomes.
  • Enable approved AI initiatives through the delivery of governed, high-quality data and scalable data pipelines.
  • Platform Operations & Continuous Improvement
  • Monitor, support and optimise data platforms, performance and operational reliability.
  • Lead issue resolution, root cause analysis and continuous improvement activities.
  • Integrate and manage data across enterprise platforms including ERP, POS, warehouse management and e Commerce systems.
  • Evaluate emerging technologies and recommend opportunities to enhance BBNT's data capability.

About You

To be successful in this role, you will bring

  • Proven experience building and supporting cloud-based data platforms, pipelines and data products.
  • Strong SQL and data engineering skills, with experience in Python (or similar).
  • Experience shaping data architecture, enterprise data capabilities or data strategy.
  • Knowledge of data integration, governance, quality, security, metadata and lineage best practices.
  • Experience delivering reliable, scalable solutions using modern engineering practices, including testing, source control and deployment processes.
  • Ability to translate business needs into practical data solutions and outcomes.

You will have working knowledge of

  • Modern data platforms, lakehouse architectures and business intelligence tools.
  • Dersigning reusable data products, semantic models and business-facing analytics solutions.
  • Exposure to AI-enabled solutions, APIs and enterprise integrations.
  • Experience integrating ERP, POS, warehouse management or e Commerce platforms.
  • Relevant qualifications or certifications in Information Technology, Data Engineering, Cloud, Analytics or Solution Architecture.

Why Join Bed Bath N' Table?

At Bed Bath N' Table, we’re passionate about helping our customers create homes they love.

As an Australian-owned family business, we’re proud of the supportive, collaborative culture we’ve built and the talented people who bring our brand to life every day.

Our values underpin everything we do

Accountability | Integrity | Respect | Teamwork | Leading by Example | Enjoyment

In this role, you’ll have the opportunity to make a genuine impact, working with teams across the business to build modern data solutions that support smarter decisions, drive innovation and help shape the future of BBNT.

In return, you’ll enjoy

  • A supportive and collaborative Head Office environment in Hawthorn
  • The opportunity to influence and grow BBNT's enterprise data capability
  • Exposure to innovative technologies, analytics and emerging AI initiatives
  • #J-18808-Ljbffr

Data Platform and Solutions Engineer in Melbourne employer: Bed Bath N' Table

Bed Bath N’ Table is an excellent employer that values its team members, offering a vibrant work culture where creativity and customer service shine during the festive season. Employees enjoy flexible hours, opportunities for personal growth, and the chance to be part of a supportive team dedicated to creating memorable shopping experiences in our South Australian stores. Join us to make this holiday season special while developing your skills in a dynamic retail environment.

B

Contact Details:

Bed Bath N' Table Recruitment Team

We think you need these skills to ace Data Platform and Solutions Engineer in Melbourne

Cloud-based Data Platforms
Data Pipelines
Data Products
SQL
Python
Data Architecture
Data Integration