First Sentier Group is seeking a Data Engineer to join our Sydney team and play a key role in building our next-generation cloud-based data platform. Working with technologies including Snowflake, Azure, Python and dbt, you'll develop scalable data solutions, support cloud migration initiatives, and help shape the future of data across the organisation. This is an exciting opportunity for someone who is hands-on, curious, and eager to grow their skills in modern data technologies, including GenAI and LLMs.
Your day-to-day
- Partner with senior engineers and stakeholders to understand requirements and deliver data solutions.
- Build, maintain and support scalable data infrastructure, pipelines and data products.
- Analyse existing systems, document data flows, and support migration to modern cloud platforms.
- Collaborate with analysts, and business teams to translate data needs into robust solutions.
- Apply engineering best practices, including documentation, testing and version control.
- Explore emerging technologies, including GenAI and LLMs, to enhance the data platform.
About you
Your experience and skills
- 2+ years' experience in Data Engineering or a similar technical role.
- Hands-on experience with Snowflake, Python, SQL, Azure data services, and dbt.
- Strong understanding of data modelling, data warehousing, and building scalable data pipelines.
- Experience with workflow orchestration tools such as Dagster or Apache Airflow.
- Familiarity with software engineering best practices, including Git, CI/CD, code reviews, and documentation.
- Comfortable working in Agile teams and partnering with engineers, analysts, and business stakeholders.
- Strong problem-solving skills and the ability to troubleshoot data issues.
- Exposure to BI and visualisation tools such as Power BI or Tableau is advantageous.
- Experience or interest in GenAI, LLMs, and AI-enabled data solutions is beneficial.
- Bachelor's degree in Computer Science, Engineering, or a related discipline is preferred but not essential.
- Experience with Docker and containerised workflows is a bonus.
