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Back to ResultsWe are looking for a skilled Data Integration Engineer to design and maintain data pipelines and system integrations within a Microsoft-based environment.
This role focuses on developing robust ETL processes using Python (PySpark, Pandas) and SQL, automating data ingestion from enterprise sources, and ensuring seamless data flow through a Medallion architecture. You'll optimise pipeline performance, implement best practices in CI/CD, and ensure governance standards are met in a regulated financial services context. Strong collaboration with stakeholders is key to translating business needs into secure, well-documented solutions.
Ideal candidates will have 3–5 years’ experience in data engineering or software development, with a strong grasp of Python, SQL, Azure data tools, and modern DevOps practices. A proactive, detail-focused mindset and a strong understanding of data governance in a regulated environment are essential.
We’re seeking a skilled Data Integration Engineer to join an established financial-services organisation.
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