Job Description

Looking for your next high-impact data role where your work directly fuels decarbonisation and real-world outcomes?

We're working with a high-growth, venture-backed scale-up that's revolutionising how energy data is used. They've built a best-in-class SaaS platform for electricity utilities, and now they’re hiring a Senior Customer Data Engineer to join their technical delivery team.

What you’ll do:

• Own and optimise large-scale ETL pipelines across diverse customer environments

• Work directly with customer engineering teams to understand data sources and ingest geospatial data

• Build models using dbt, Spark and Python

• Partner with internal data science and product teams to unlock real business outcomes

• Take charge of solving data bugs, system integration challenges, and performance optimisation

Tech Stack:
Databricks (Spark), AWS, dbt, SQL, Python

We’re looking for someone with:
✅ Strong SQL and Python skills with a focus on ETL and data pipeline development
✅ Experience with big data (Spark or Databricks)
✅ Core knowledge of geospatial data—especially interpreting and mapping it
✅ Comfortable talking to external customers or open to building those skills
✅ Problem-solving mindset and thrives in fast-paced, less-structured environments

This role is highly suited to someone from a consulting background or experience in startups/scale-ups. Electrical engineering knowledge is a bonus but not required.

You'll work 90% on technical data engineering delivery and 10% customer interaction (flexible depending on the project). If you’re commercially curious, technically sharp, and want to make a difference—this is worth a chat.

Apply directly to this ad for more information or reach out to Ailbhe - ailbhe@theonset.com.au

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