Posted 16d ago
Data Engineer
KEY POINTS WE FOUND
- Design and maintain data pipelines for accessibility and reliability.
- Transform and model data using dbt for informed decision-making.
- Utilise Snowflake for data storage and optimisation.
Overview
If you’re passionate about building modern data solutions and want to make an impact, this is a role where your skills will be valued and your contributions will shape the way data is used across the business.
Key Responsibilities
- Be part of a team designing and maintaining data pipelines that make information accessible and reliable
- Use dbt to transform and model data in ways that drive smarter decisions
- Work with Snowflake to ensure data is stored and optimized for performance
- (Nice to have) Bring your experience with Airflow to help orchestrate workflows
- (Preferred) Apply your knowledge of the AWS stack to strengthen cloud-based solutions
Skills & Experience
- You have hands-on experience with Snowflake and dbt
- You’re comfortable with SQL and scripting (Python is a plus)
- You enjoy solving problems and making data work better for people
- You collaborate well and communicate clearly — your ideas matter here
- If you’ve worked with Airflow or AWS services, that’s a bonus
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Skills
0 of 15 matchedAirflowAwsCollaborativeData modellingData pipelinesData solutionsData transformationDbtExcellent communication skillsProblem solvingPythonScriptingSnowflakeSqlWorkflow orchestration