Data Engineer (Analytics) - remote

Role: Data Engineer (Analytics)
Location: Remote – Vietnam
Type: Full-Time Contractor
Working time: Monday–Friday, 9 am–5 pm (AEST/AEDT)
About Us:
Automation Consulting Pty Ltd is an Australian-based AI and automation consultancy helping businesses streamline operations with smart, scalable solutions.
About Our Client
Our client is a dynamic Australian FinTech startup revolutionising payments. Their innovative platform empowers businesses with cutting-edge payment solutions, enhancing efficiency while offering valuable rewards. Launched in 2019, they've quickly become one of Australia's fastest growing fintech companies.
About The Role
We’re looking for a Data Engineer (Analytics) to join our growing data team, reporting directly to the Data & Analytics Lead. This role sits at the intersection of data engineering, analytics engineering, and the business, working closely with our Senior Data Engineer to build on our existing data foundations and accelerate the impact of our data function.
You’ll be responsible for transforming our Databricks medallion architecture into a trusted, well-structured semantic layer that enables self-service analytics, reliable reporting, and the wider data foundations required to support advanced ML and AI use cases as our data organisation grows.
This is an excellent opportunity for someone who combines strong data modelling and analytics engineering expertise with excellent stakeholder and communication skills. You’ll be expected to understand what stakeholders are trying to achieve, ask the right questions, and use your technical expertise to design optimal, scalable, and trusted data solutions.
As the team grows, there will also be opportunities to work with and evaluate emerging data and AI technologies, including approaches such as contextual data models and ontologies, RAG, and agent-enabled analytics, helping shape how our data foundations can support the next generation of data and AI capabilities.
Key Responsibilities:
Design, build, and maintain production-ready analytics datasets and semantic models within Databricks
Transform our existing medallion architecture into a trusted, consumable semantic layer that supports self-service analytics, reporting, and downstream ML/AI use cases
Own and develop robust data models, ensuring they are well-structured, scalable, and aligned to business requirements
Work closely with the Senior Data Engineer to build on existing data foundations and identify opportunities to improve pipelines, transformations, data quality, and overall platform capability
Partner with stakeholders to understand their business objectives, questions, and desired outcomes, translating these into effective and scalable data solutions
Act as a bridge between the data engineering team and business stakeholders, helping stakeholders understand what is possible while ensuring technical solutions address the underlying business need
Contribute to data engineering activities where required, including ingestion, transformation, pipeline development, optimisation, and troubleshooting
Apply software engineering best practices to analytics development, including Git-based version control, code review, automated testing, and CI/CD
Develop and maintain automated data quality checks and testing frameworks, identifying issues before inaccurate or incomplete data reaches business users and decision-makers
Establish and maintain clear definitions of business metrics and key data concepts, ensuring consistent interpretation and usage across the organisation
Contribute to the development and implementation of data governance practices, including data ownership, definitions, quality, lineage, access, and appropriate usage
Monitor and proactively address data quality, reliability, performance, and usability issues across analytics datasets and models
Contribute to the evaluation and adoption of modern analytics and data technologies, including emerging approaches that support AI-enabled analytics, contextual data, RAG, and agent-based data experiences
Requirements:
4+ years of experience in a Data Engineering, Analytics Engineering, or closely related role
Proven, hands-on experience with data modelling, with a strong understanding of how to design scalable models for analytics and business consumption
Fluent English communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.
Experience working with Databricks and modern cloud data platforms in a production environment
Advanced SQL & Python skills and experience with dbt or similar analytics engineering/transformation frameworks
Strong understanding of analytics engineering principles, including transformation layers, semantic models, reusable datasets, and dimensional/modelling concepts
Experience transforming raw or operational data into trusted, business-ready analytical datasets
Experience applying software engineering best practices to data and analytics development, including Git, code review, automated testing, and CI/CD
Experience working with business stakeholders to understand requirements and translate business objectives into data solutions
Strong communication skills, with the ability to ask the right questions, challenge assumptions, and understand the problem behind the request
Ability to operate independently, take ownership, and manage priorities in a fast-paced and evolving environment
Nice to Have
Experience working closely with Data Engineers and contributing to broader data engineering activities such as ingestion pipelines, incremental processing, CDC, Spark, or pipeline optimisation
Experience implementing or contributing to data governance frameworks
Experience with data catalogues, metadata management, lineage tooling, or data quality platforms
Experience supporting machine learning, AI, or advanced analytics use cases
Exposure to emerging approaches such as ontologies, knowledge graphs, RAG, semantic/contextual layers, or agent-enabled analytics
Experience designing data models or semantic layers specifically to support AI and LLM-based applications
Experience in fintech, payments, B2B SaaS, or another data-intensive environment
What We Offer:
Competitive salary.
Supportive environment that values work-life balance.
Partnership approach ("work with us, not for us").
Laptop provided for work purposes.
Successful candidates are required to operate under their own registered business entity (e.g. household business) in Vietnam, and are responsible for their own taxes and business expenses.
Collaborative and nurturing environment.
Knowledge sharing and skill enhancement opportunities.
Respectful and inclusive team culture.
Long-term opportunity with ongoing projects and growth potential.
Application Process
AI-Powered Screening Interview (via Kattie Recruitment platform)
Technical Interview
Meet our Client
How to Apply:
If you're ready to join a high-impact international team, please submit your resume to:
hr@automationconsulting.com.au
Due to the high volume of applications for this role, we're only able to reach out to shortlisted candidates for the next steps. We sincerely thank everyone who takes the time to apply, and we'll keep your profile on file for future opportunities that may be a better fit.

Work arrangement
No