Data Engineer
The Onset
Date: 3 weeks ago
City: Sydney, New South Wales
Contract type: Full time
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
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 - [email protected]
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
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 - [email protected]
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