Senior Data Engineer
Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Certus Recruitment Group
Sydney, NSW
hybridFull Time
$140,000 - $190,000 per yr
Apply for this job
Posted 9 months ago
This role is expired
These roles are hiring now
View all AI roles →Project Manager – AI & Automation
Autoleague
West Perth, WA
- Lead AI, automation and business transformation projects
- Experience in project management and business transformation required
- Financial modelling, business case development, stakeholder engagement
Posted 7d ago
AI Business Partner
Permobil
Seven Hills, NSW
hybrid- Lead AI adoption across APAC markets, drive pilots and measure outcomes
- 5+ years in business transformation, change management or digital enablement
- Strong communicator, influencer, commercially minded, comfortable with ambiguity
Posted 6d ago
Ventia Graduate Program - Data Science & Information Systems
Ventia
North Sydney, NSW
- 2-year rotational program in data science, AI & information systems
- Recent graduates (completed degree in last 2 years or final semester)
- Data analytics, AI, information systems, problem-solving
Posted 3d ago
Engineering Manager - Search Intelligence
REA Group
Melbourne, VIC
hybrid- Lead AI search team building conversational search and semantic matching
- Experience leading engineering teams of 8-10 people
- AI-powered applications, LLMs, ML deployment, full stack, API design
Posted 3d ago
Senior Data Engineer – Permanent Full Time! $140K-$190K base + super maximum
Job Title: Senior Data Engineer
Location: Sydney (Hybrid) 2-3 days per week in the offices in Sydney CBD
Company: FinTech
About the Role
We’re seeking an experienced Data Engineer to take full ownership of our end-to-end data architecture. In this role, you’ll help shape and improve our modern data ecosystem, enabling the business to generate meaningful insights and laying the groundwork for innovative analytics and AI initiatives.
You’ll work across the full data pipeline – from ingestion through to transformation and visualisation – collaborating closely with teams in Engineering, Product, Finance, and Marketing to drive tangible business outcomes.
Our Data Stack
We’ve built a modern, cloud-native data platform using industry-leading tools. You’ll work with and help refine the following:
Ingestion & Transformation:
- BigQuery
- dbt
- Fivetran
- Go microservices
- Google Cloud Scheduled Queries
- Segment
Analytics & Visualisation:
- Metabase
- Tableau
Infrastructure & DevOps:
- Google Cloud Platform
- GitHub Actions
- Kubernetes
- Terraform / FluxCD
- Microsoft Azure (currently in early adoption)
You don’t need to be an expert in every tool, but we’re looking for someone who can confidently manage, improve, and evolve the stack.
Key Responsibilities- Lead our data architecture end-to-end, from ingestion and modelling through to reporting
- Optimise data pipelines, infrastructure, and models to enhance data quality, performance, and accessibility
- Collaborate with analysts and data teams across the broader business to align systems and practices
- Partner with stakeholders to deliver insights, dashboards, and data solutions that support decision-making
- Implement and uphold engineering best practices to ensure reliability and scalability across the data stack
- Explore and advocate for opportunities to embed AI into our data workflows and analytics
- Promote best-practice data management, governance, and impactful communication
- Continuously monitor and enhance the performance of key tools including dbt, BigQuery, Metabase, and Segment
- Support compliance with data privacy, security, and governance standards
What We’re Looking For
- 5+ years' experience in data engineering or analytics engineering
- Advanced SQL skills and proficiency in a language like Python
- Experience working with a modern data stack (e.g. dbt, BigQuery, Fivetran, Metabase, GCP)
- Strong data modelling abilities and a history of building scalable, maintainable pipelines
- Comfortable working with event-driven data and marketing analytics platforms
- Enthusiasm for using AI to enhance data architecture, insights, and decision-making
- Clear communicator with the ability to engage a wide range of stakeholders
- Proven ability to work autonomously, make sound decisions, and deliver results end-to-end
- Eager to contribute to a fast-paced, high-impact environment where your work will make a difference
Highly Regarded Experience
- Experience in fintech, consumer tech, or B2C data environments
- Exposure to Go or interest in contributing to Go-based microservices
- Familiarity with reverse ETL and customer data platforms (e.g. Segment, Braze, Branch)
- Understanding of data governance, security, and compliance in regulated industries
What We Offer
- The chance to influence the future of investing in Australia through data innovation
- A passionate, capable team working on high-impact projects
- Close collaboration with senior leaders in both local and global teams
- Hybrid working environment with a centrally located Sydney CBD office (Martin Place)
- Tailored learning and development opportunities
- Competitive salary, plus health, wellbeing, and remote work benefits
This is a permanent full time opportunity and will suit a Senior Data Engineer who is seeking to take their role to the next level. Click APPLY Now.
Only candidates with full working rights and are currently based in Australia NEED APPLY.
Contact Charmaine Thum on 0439 320 538 or email c.thum@certusrecruitment.com