
Customer Success Engineer
- Wokingham, Berkshire
- Permanent
- Full-time
- Technical Leadership: Own the customer relationship from a technical perspective, becoming a trusted advisor for the implementation and ongoing adoption of Qlik Talend Data Integration.
- Innovative Projects: Work at the bleeding edge of data technology, solving significant data challenges and creating impactful outcomes.
- Customer Empowerment: Help customers fully utilize their subscriptions, ensuring rapid Time-To-Value and unlocking the full potential of our software.
- Collaborative Engagement: Partner closely with Customer Success Managers and other customer-facing roles, ensuring coordinated and successful customer outcomes.
- Best Practices Deployment: Collaborate with customers to deploy, manage, and audit best practices, ensuring scalable and secure implementations.
- Technical Workshops: Conduct technical workshops and provide product updates, empowering customers with the latest advancements.
- Problem Solving: Research, investigate, and recommend solutions to data and business challenges, taking technical ownership to drive resolution. When required, help the customer analyze and troubleshoot issues.
- Customer Success: Understand the customer’s objectives, and work collaboratively to create a joint Success Plan that guides them to maintain a healthy platform and successful project outcomes. Help customers derive maximum value from their investment in Qlik by identifying new opportunities for adoption.
- Industry Experience: Minimum of 6 years in a data engineering field, managing multiple customers and projects.
- Technical Expertise:
- Proficiency implementing data integration and transformation solutions is essential, using data replication, change data capture, ELT and ETL techniques, preferably using Qlik and/or Talend technologies.
- Experience with Data Quality and Governance solutions is a key advantage.
- Proficiency in Data Warehouse, Data Lake and Data Lakehouse technologies.
- Experience with databases (relational & NoSQL) such as DB2 and SQL Server.
- Experience working with data platforms such as Snowflake, Databricks or Cloudera.
- Expertise in designing and deploying complex data solutions for cloud platforms, particularly Azure, AWS or Google.
- Familiarity with Linux, Networking and security a plus.
- Development skills would be an advantage in any of Java, PowerShell, Python, RESTful APIs and SQL.
- Understanding of DevOps processes and technologies.
- Soft Skills: Strong client-facing consultative skills and creative problem-solving ability, ability to multi-task across assigned customer portfolio.
- Genuine career progression pathways and mentoring programs
- Culture of innovation, technology, collaboration, and openness
- Flexible, diverse, and international work environment