Senior Data Engineering Specialist

hace 6 días

Madrid, Madrid, España Qlik A tiempo completo

About Qlik

As a Gartner Magic Quadrant Leader for 13 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.

What We Do

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

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.

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.

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.
  • Customer Success: Analyze and troubleshoot customer issues, document and present complex solutions, and ensure successful project completions.

What We're Looking For

  • Industry Experience: Minimum of 8 years in a data engineering field, managing multiple customers and projects.
  • Technical Expertise: Proficiency implementing data replication, change data capture and ELT solutions is essential, preferably using Qlik technologies. Demonstrable experience with Oracle, DB2 (iSeries or z/OS), SQL Server, and/or more of Snowflake, Databricks, Google BigQuery, Cloudera, Hortonworks, Hive or Kafka. Some experience with Talend Data Fabric would be an advantage.
  • Development Skills: Experience in scripting languages such as Powershell and Python, RESTful APIs, and SQL. Knowledge of DevOps solutions and container technologies is an advantage.

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