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Senior data engineer

Melbourne
Eatclub
Posted: 21 December
Offer description

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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 4,000 venues to fill empty tables, increase foot traffic, and maximise revenue.
Recently ranked #11 on the **** Deloitte Tech Fast 50
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 140+ person scale-up that's growing fast and making waves in the industry.
Want to be part of something deliciously different?
Ranked 7th fastest growing company in Australia by the AFR.
Read About Us in the AFR:
Read More in Forbes:
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 Senior Data Engineer who's excited to tackle a range of projects that will supply mission-critical data and insights for EatClub and our customers.
You'll have real influence, and room to grow in a fun and rewarding environment.
Key Responsibilities
Design, build and own robust ELT/ETL pipelines that bring together data from a wide range of sources, turning messy, real-world data into clean, trusted datasets.
Build and operate our data warehouse and analytics platform, ensuring it scales with the business and supports everything from self-serve reporting to advanced dashboards, analytics and ML use cases.
Work closely with the Product, Sales, Account Management and Senior Leadership teams translating business needs into clear, reliable metrics, reports and insights that directly inform decision-making.
Provide quick ad-hoc, executive-ready reporting, transforming complex data into timely, easy-to-understand insights that enable senior leaders to make confident, well-informed decisions.
Enable Machine Learning and AI initiatives, building high-quality feature pipelines and datasets that power forecasting, personalisation and automation across the platform.
Champion data quality, reliability and observability, proactively identifying and resolving data acquisition, integration and performance issues before they impact the business.
Build and optimise data models that balance performance, usability and cost, supporting both ad-hoc analysis and critical recurring reporting.
Continuously improve our data stack, evaluating new tools, patterns and approaches to keep us modern, efficient and scalable.
What You'll Bring
A proactive, hands-on mindset, with the ability to roll up your sleeves and get things done.
Excellent written and verbal communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences.
Strong interpersonal skills and a genuine willingness to collaborate and support teams across the business.
A solid grounding in data engineering fundamentals, including data modelling, pipeline design and reliability.
Excellent problem-solving skills, paired with strong attention to detail and data quality.
Proven experience designing, building and operating ETL/ELT pipelines in production environments.
Strong proficiency with relational databases, such as MySQL and PostgreSQL.
A strong understanding of query optimisation and performance tuning across pipelines and analytical workloads.
Experience working with modern data warehousing platforms, such as Amazon Redshift or Snowflake.
Experience integrating with REST and GraphQL APIs to ingest and synchronise data from external systems.
Strong programming experience in Python, JavaScript and/or Java (or similar modern languages).
A working knowledge of data integrity, security and privacy requirements, including regulations such as GDPR.
Bonus Points If You...
Have experience with machine learning (ML) pipelines.
Have 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 5–8 years of post-degree commercial experience as a Data Engineer.
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.
#J-*****-Ljbffr

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