Data Engineer
Leap29
Salary: $60 – $90 per year
Data Engineer
Key Responsibilities
- Design, build and maintain scalable data pipelines.
- Transform and standardise data across different data models.
- Develop reusable, maintainable solutions using Python and software engineering best practices.
- Work with cloud platforms, distributed processing technologies and modern data architectures.
- Collaborate with engineers and stakeholders in an Agile environment.
Key Skills & Experience
- Proven Data Engineering experience in complex, large-scale environments.
- Strong Python skills and experience building data pipelines.
- Experience with data modelling and transforming data between different formats.
- Knowledge of cloud platforms, ideally Azure, alongside Spark and Databricks.
- Familiarity with data storage technologies such as Parquet and Delta Lake.
- Experience with Docker, Kubernetes, Git/GitHub and Linux/Unix environments.
- Ability to contribute to shared codebases and collaborative development teams.
Reference: WJ-766_24114770 · Posted 09 Nov 2026, 09:52 PM