Vacancy Description
Responsibilities
- Design, develop, and maintain efficient data pipelines (ETL/ELT) to ingest, transform, and process large datasets
- Build and optimise data models and transformations to ensure data is structured, accurate, and ready for analytics use cases
- Support the development and enhancement of modern data platforms, including cloud-based environments (e.g. Databricks or similar ecosystems)
- Collaborate with data analysts, engineers, and business stakeholders to translate requirements into scalable data solutions
- Ensure strong data quality, reliability, and performance optimisation across pipelines and datasets
- 5-7 years of experience in data engineering or related fields
- Strong experience in data pipeline development (ETL/ELT)
- Experience with cloud-based data platforms (e.g. Databricks, Snowflake, AWS, Azure, or GCP)
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