Data Engineer
Leap29Job Description
Data Engineer
I'm recruiting for a Data Engineer to work on large-scale data projects, building reliable pipelines and developing scalable solutions to process and transform data from multiple sources.
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.
If you're a Data Engineer with strong Python skills and experience working with modern data platforms, apply here!