Senior Data Engineer - Octopus Deploy

About Octopus Deploy:

Octopus Deploy sets the standard for Continuous Delivery, empowering software teams to deliver value in an agile way. Over 4,000 organizations globally – including Ubisoft, Xero, Stack Overflow, NASA, and Disney – rely on our Continuous Delivery, GitOps, and release orchestration solutions.

Founded in Australia in 2012, our team of over 300 Octonauts now spans the globe. We combine high growth and big ambitions with a sustainable, balanced working environment. We’ve been remote-first since 2015 and work with an uncommon level of transparency.

Role Summary

Are you a Data Engineer who thrives at the intersection of data and software engineering? Are you excited about the impact of AI and context engineering in the world of data? We want you to shape the future of our Data Platform that serves both our internal organisation and our customers.

We're part of the Platform group at Octopus and are looking for a Data Engineer to join our small, nimble team.

What You'll Be Doing:

• Taking ownership of the end-to-end development lifecycle of new data-platform capabilities - solution architecture and design, instrumentation → ingestion → transformation, security, CI/CD and instrumenting the monitoring of it.
• Redefining how Analytics works in a world of AI, shifting from managing not just data, but building innovative solutions to manage context and AI Agents.
• Collaborating with stakeholders, such as Organisational Leaders, Product Managers, Designers, Customer Engineers to model and deliver data to be used for insights.
• Bringing your strong opinions, loosely held for technical discussions and strategies to ensure high-quality solutions.
• Managing the operational day-to-day of the platform - ensuring it's reliable, performant and cost effective.

We're looking for someone with:

• 3+ years and demonstrable experience as a data (or software-engineer), explicitly building Data Platform capabilities using modern cloud based technology (Azure/AWS, Snowflake, Databricks, Clickhouse etc).
• A firm grasp on languages used predominately in the data-engineering landscape, preferably proficiency in SQL and strong Python experience.
• Lived experience working with the latest in data, such as Apache Iceberg, DuckDB, Clickhouse, or building pro-active analytics with agents.
• Background in working on real-time and streaming based problems (Kafka, Flink, RisingWave, Snowflake Interactive Tables).
• Genuine and enthusiastic interest in the way data-engineering is evolving alongside artificial intelligence systems.
• A pragmatic approach to self-service analytics and data-as-a-product principles.
• Experience working in a "you built it, you run it" culture.

Nice to have:

• Experience building or working on AI based solutions, such as creating agents.
• Strong familiarity with software-engineering discipline and telemetry in Python, C#, or Typescript.
• Experience with frameworks like Spark or dbt.
• Knowledge of data-modelling methodologies like Kimball.