Lead Data Engineer
Are you someone who is excited about shaping the data foundations behind the future of adventure travel? At Intrepid we're looking for an experienced Lead Data Engineer to design, build and evolve our enterprise data platform and engineering capability. Working closely with our data team, architects, engineers and senior leaders, you’ll define the direction of our data ecosystem and build a scalable, secure and trusted platform that elevates our analytics, reporting, insights and future AI initiatives.
This is a hybrid role which combines hands-on technical leadership and strategic business partnering, where you’ll drive the modernisation and migration of legacy data systems, establish best practices, and build robust data ingestion, modelling and transformation capabilities. We’re looking for an experienced engineering leader who has proven experience building enterprise-scale data solutions, strong SQL and Python skills, and a track record of successfully building and upgrading legacy data platforms. Most importantly, you’ll take ownership, build strong stakeholder relationships to influence, and be passionate about creating trusted data foundations that enable better commercial decision making.
This is a full-time, permanent position that offers a hybrid work model (2 days from home), based in our centrally located Melbourne HQ on Collins Street.
Some of the experience you’ll bring with you may include:
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8+ years’ experience building and leading enterprise-scale data solutions.
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Proven success designing and delivering modern cloud-based data platforms.
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Experience across the full data lifecycle, from ingestion and transformation through to analytics and consumption.
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Experience with modern cloud data platforms such as Databricks, Snowflake, BigQuery or equivalent technologies.
-
Experience with data platform migration, CI/CD, automated testing, monitoring and infrastructure-as-code.
Are you someone who is excited about shaping the data foundations behind the future of adventure travel? At Intrepid we're looking for an experienced Lead Data Engineer to design, build and evolve our enterprise data platform and engineering capability. Working closely with our data team, architects, engineers and senior leaders, you’ll define the direction of our data ecosystem and build a scalable, secure and trusted platform that elevates our analytics, reporting, insights and future AI initiatives.
This is a hybrid role which combines hands-on technical leadership and strategic business partnering, where you’ll drive the modernisation and migration of legacy data systems, establish best practices, and build robust data ingestion, modelling and transformation capabilities. We’re looking for an experienced engineering leader who has proven experience building enterprise-scale data solutions, strong SQL and Python skills, and a track record of successfully building and upgrading legacy data platforms. Most importantly, you’ll take ownership, build strong stakeholder relationships to influence, and be passionate about creating trusted data foundations that enable better commercial decision making.
This is a full-time, permanent position that offers a hybrid work model (2 days from home), based in our centrally located Melbourne HQ on Collins Street.
Some of the experience you’ll bring with you may include:
-
8+ years’ experience building and leading enterprise-scale data solutions.
-
Proven success designing and delivering modern cloud-based data platforms.
-
Experience across the full data lifecycle, from ingestion and transformation through to analytics and consumption.
-
Experience with modern cloud data platforms such as Databricks, Snowflake, BigQuery or equivalent technologies.
-
Experience with data platform migration, CI/CD, automated testing, monitoring and infrastructure-as-code.