Join the Food Tech Revolution at EatClub!
About Us
At EatClub, we believe restaurants and bars are the beating heart of every city’s culture. Whether it's discovering a hidden gem, grabbing a late-night takeaway, or meeting friends for a drink, our mission is simple:
help the hospitality industry thrive through smart, powerful tech.
Our platform helps over 2 million customers discover top restaurants and access real-time deals that save them up to 50% off the bill. We empower more than 2,000 venues to fill empty tables, increase foot traffic, and
maximise revenue.
Now is an exciting time to join our team. Initially co-founded by Marco Pierre White and leaders in the food tech scene, we’re now a 40+ person scaleup that’s growing fast and making waves in the industry.
Want to be part of something deliciously different?
Read about us in the AFR
Read more about us in Broadsheet
Why You’ll Love Working Here
* Everyone contributes : We encourage every team member to bring their ideas to the table and help shape what we build next.
* Create Big impact : Your code will directly affect how thousands of venues and millions of users connect over food and drink.
* Startup speed, real ownership : You’ll work in a fast-paced, agile environment where your ideas matter and shipping code is the focus.
* Remote + flexible : We care about outcomes, not clock-watching. Work from wherever suits you best.
* Inclusive + diverse – We embrace differences and believe the best teams are built on diversity in background, thinking, and experience.
* Surround yourself with exceptional talent : We seek out top talent. Our people are passionate about their craft, and love inspiring those around them to be their best.
* Supportive, fun-loving team: We work hard together, cheer each other on, and celebrate our wins as a team.
The Role
We’re looking for a proactive Data Engineer who’s excited to take on multiple responsibilities and tackle a range of projects that will supply mission-critical data and insights for EatClub and our customers. You’ll join a team where you’ll have real influence, wide scope, and room to grow in a fun and rewarding environment.
Key responsibilities
* Working with a range of data sources to build a data warehouse
* Build ETL/ELT pipelines
* Supporting the development of our Machine Learning and AI strategy
* Resolving issues with data-acquisition, integration and management
* Ad-hoc and periodic report building
What You'll Bring
* Strong understanding of Data Engineering principles
* Strong proficiency in building and managing ETL/ELT pipelines
* Excellent problem-solving skills and attention to detail
* Experience with consuming REST and GraphQL APIs
* Programming experience in Python and Java
* Strong proficiency with relational database management such as MySQL, PostgreSQL
* Proficient with NoSQL databases such as MongoDB, Cassandra, etc.
* Proficient with data warehousing technologies such as Amazon Redshift or Snowflake
* Proficient with distributed message-based computing and messaging systems such as Kafka
* Proficient with code and query performance tuning
* Proficient in automated testing and writing testable code
* Comfortable working in Git
* A good understanding of data integrity compliance laws (e.g., GDPR)
* Excellent verbal and written communication skills
* A proactive mindset, ready to roll up your sleeves
Bonus Points If You...
* Experience with machine learning (ML) pipelines
* Experience with other data warehousing technologies such as Databricks, Google BigQuery, Azure Synapse
* Have experience in building automated CI/CD pipelines
* Love food, restaurants, and dining out
Qualifications
* Degree in Data Science or a related discipline
* A minimum of 5 years of post-degree commercial experience as a Java Developer
* Full working rights in Australia
Hungry Yet?
If you're looking for a role where you can do your best work, make a visible impact, and work with great humans, then we'd love to hear from you.
Apply now, and let’s build something extraordinary—one dish, one booking, one feature at a time.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Hospitality
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