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
Requirements 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) Hands-on experience in data transformation, modelling, and analytics datasets Proficiency in SQL and/or programming languages such as Python or Scala St...