Role: Data Engineer
Location: UK- Remote
Contract: 3 Months (with potential for extension)
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