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We’re working with a leading global organisation to hire an experienced Data Engineer to help build and scale modern data platforms that power analytics, trading, and operational decision-making. This is a hands-on engineering role within a high-performing data and business engineering environment. You’ll work closely with engineers, data scientists, and business stakeholders to design and deliver robust data solutions, develop production-grade pipelines, and support the ongoing evolution of the organisation’s data platform.
Job Responsibility:
Design, build, and maintain scalable data pipelines and data platform components
Develop Python-based data workflows using orchestration tools such as Dagster or Airflow
Extract and integrate data from internal systems, external sources, and APIs
Support the development and optimisation of cloud-based data platforms, including Snowflake
Integrate batch and streaming data flows where required
Requirements:
Strong hands-on experience in data engineering
Solid programming skills in Python (Java is a plus)
Experience building and operating production data pipelines
Experience working with modern cloud data platforms or warehouses (e.g., Snowflake)
Familiarity with AWS data infrastructure such as S3 and IAM