breezy
Customer Implementation Engineer (Watershed) UK, Remote
LTG
Remote, GBR
Full-time
Mid · 3+ years experience
Remote
Discovered 2 weeks ago
PythonREST APIsJSONSQLMySQLJava
Free
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PythonREST APIsJSON
Key Skills for This Role
PythonREST APIsJSONSQLMySQLJava
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Key Responsibilities
- Client Implementation: Build connections between Watershed and client systems, and configure Watershed to meet each client's goals.
- Data Pipelines & Integrations: Build and maintain data pipelines and API integrations, and write scripts to create and manage data connections to Watershed.
- Reporting & Analysis: Use our flexible reporting platform to perform data analysis on complex data sets and build dashboards and reports that help clients understand and act on their data.
- Consulting & Best Practices: Consult with clients on their goals, share knowledge of best practices, and help clients build out their learning data ecosystems.
- Technical Support & Troubleshooting: Provide technical assistance to clients and work closely with the technology team to troubleshoot issues and influence product changes.
- Automation and Deployment: Automate repetitive technical workflows to improve efficiency for both clients and the team. Develop automation and deployment workflows using CI/CD tools, i.e Jenkins.
- Core Product Contributions: Occasionally contribute updates to Watershed's core product — a much lower priority relative to client-facing and integration work.
- Client Relationships: Serve as a public-facing representative for the company and product, building rapport with clients and industry partners and identifying opportunities for expansion within existing relationships.
- Training: Train clients on how to use Watershed effectively.
- Familiarity with corporate learning ecosystems is a huge plus — but not a requirement.
REQUIREMENTS & EXPERIENCE
- 3+ years of hands-on programming experience, ideally including Python, REST APIs, data wrangling, and software automation tools.
- 3+ years of experience in a client-facing role implementing SaaS software, data science, analytics, or reporting tools.
- Demonstrated ability to build and maintain data pipelines and system integrations.
- Ability to understand client challenges and translate them into actionable technical solutions.
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