MISSION

Neoen’s Energy Management Team is looking for a Senior Data Engineer to take ownership of data storage,access and ingestion across a growing ecosystem of energy market applications. These applications areoperations-critical in nature, ensuring strong revenues and compliance in Australia’s energy markets whilesupporting Neoen’s future expansion plans. The team is defined by a combination of software engineering skills,market expertise, and quantitative capabilities.

ESSENTIAL EXPERIENCE

• 4+ years’ experience in data engineering roles, including experience with relational databases in an
• operations-critical capacity.
• Proven track record designing scalable data architectures across multiple applications or services.
• Strong proficiency in SQL and Python.
• Demonstrated experience implementing schema migration/version control at scale.
• Track record of operating in mature data environments, with established processes for quality,
• governance, and continuous improvement.
• Strong appetite for software & data quality, implementing modern tooling, and solving problems
• proactively.
• Hands-on experience with CI/CD, containerisation (e.g., Docker), and deploying data systems in cloudbased environments (Azure, AWS, or equivalent).

Desirable Experience

• Hands-on experience with data orchestration tools (Dagster, Prefect, Azure data platform, etc.).
• Experience in the energy sector or other real-time operations domains.
• Familiarity with CI/CD, Kubernetes and infrastructure-as-code approaches to data system deployment.
• Exposure to revenue modelling, time series forecasting, or optimisation pipelines.
• Prior experience establishing data governance frameworks in a scale-up or cross-functional
• environment.

Data Ownership & Operational Excellence

• Maintain and take ownership of core databases (primarily SQL Server) used in real-time and production-critical environments.
• Determine and standardise best practices for database versioning and schema migration processesacross applications.
• Implement data maintenance strategies including automated purging, archiving and index optimisation.

System Design and Governance

• Develop efficient and reliable data pipelines for energy market and asset telemetry data.
• Define the structure and lifecycle of datasets across Energy Management applications (~10 and growing)to optimise performance, availability and cost.
• Support consolidation and simplification of disparate database access patterns into shared, maintainablelibraries or services.
• Establish team-wide standards for data ingestion, transformation, storage and access.

Team Enablement and Leadership

• Partner with engineers and analysts to resolve complex operational issues, understand bottlenecks in
• data access and identify opportunities for improvement.
• Mentor junior developers and data practitioners on efficient querying, modelling, and pipeline design.
• Guide the evaluation and integration of modern data tooling (e.g., orchestration, monitoring, data
• warehousing systems).