Customer Success Engineer

Qlik
Reading or London UKPosted 25 March 2022

Tech Stack

Job Description

Qlik Careers Customer Success Engineer Customer Success/SupportHybrid Remote, Wokingham, POST-BER London, United Kingdom Apply Description What makes us Qlik?   A Gartner® Magic Quadrant™ Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster.   We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.   The Customer Success Engineer Role- French Speaking     Join us as a Customer Success Engineer at Qlik! As a pivotal member of our team, you'll be at the forefront of empowering businesses with cutting-edge data integration, data quality, and data governance technology. Your dynamic, customer-centric expertise in data engineering will drive meaningful outcomes for our most strategic customers, shaping the future of data engineering. This role will be covering our French speaking customers across France, Switzerland and the rest of EMEA.   What makes this role interesting?     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.     Here’s how you’ll be making an impact:     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.    We’re looking for a teammate with:     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.   Language Skills: Fluent French, Business-level English.      ... (truncated, view full listing at source)
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