TTI is partnering with a delivery team in the energy/utilities space and we’re looking for a senior data engineer who can hit the ground running across Databricks, Python and AWS. This is a hands-on role in a domain where data quality, reliability and practical delivery matter.
What you’ll be doing
- Build and optimise data pipelines on AWS + Databricks (batch and, ideally, streaming)
- Develop production-grade data engineering in Python (and SQL)
- Model and curate data for analytics and downstream consumption (lakehouse patterns)
- Work with stakeholders to understand requirements and translate them into deliverable data products
- Improve performance, cost and operational stability (monitoring, testing, CI/CD)
What we’re looking for
- Strong hands-on Databricks experience (design + build, not just “used it”)
- Robust Python for data engineering (PySpark a plus)
- Strong AWS experience (typical services: S3, Glue, Lambda, EMR, Redshift, Athena, Step Functions, etc.)
- Energy/utilities domain experience (networks, retail, generation, metering, asset data, customer/market ops, etc.)
- Solid engineering discipline: data quality, version control, and delivery in real environments
Nice to have
- Streaming (Kafka/Kinesis), Delta Lake, dbt, Terraform, Airflow
- Experience in regulated environments and/or large enterprise programs
Interested?
DM me, email
[email protected], call 0418 351 545 or simply apply
📌 Senior Data Engineer (Melbourne)
🏢 The Talent Initiative
📍 Melbourne