Data Engineer

US Tech Solutions
London
9 months ago
Applications closed

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About the Role: In this role, you will play a key part in supporting client’s High Touch Support operations—designing and maintaining scalable data pipelines and creating solutions that drive customer satisfaction and informed business decisions. This is a hands-on role with a strong focus on metric development , data visualization , and data pipeline optimization . You’ll work cross-functionally with Engineers, Data Scientists, and Product Managers to ensure the right data is captured, modeled, and surfaced to support ongoing initiatives. Key Responsibilities: Build and maintain scalable data pipelines and architecture Develop success metrics and dashboards to measure and drive team performance. Collaborate with stakeholders (PMs, DS, Eng) to define data needs and translate them into actionable insights Support knowledge management efforts—identifying performance gaps in support tools like search and agent experience Handle ad hoc data requests including bug fixes, data pulls, and issue investigations Leverage BI and integration tools like Azure Data Factory for robust data solutions Qualifications: 5 years of experience with SQL and Python Strong background in data modeling and data visualization (Tableau, MicroStrategy, etc.) Hands-on experience with Azure Data Factory, Airflow, or similar ETL tools Ability to work independently while collaborating with cross-functional teams Experience with data analysis and metric definition is a plus Nice to Have: Prior experience in support systems , user behavior analytics , or knowledge base optimization Strong communication and storytelling skills using data

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