Qlik Data Solutions Engineer

• Design and govern Qlik Sense across enterprise, risk, compliance and regulatory reporting environments.
• Develop and maintain centralized data models, QVD layers and reusable subject-area applications.
• Define and implement Section Access and row-level security across countries, business units, customer segments and functions.
• Review and optimize Qlik scripts, reload processes, incremental loads and ODAG implementations for large-scale data volumes.
• Perform Qlik application and dashboard performance tuning, including billions-of-rows datasets.
• Work with data engineering teams to push transformation logic to Teradata and Trino/Impala using optimized SQL.
• Establish and enforce Qlik development standards, including master dimensions, measures, KPIs, dashboard templates and naming conventions.
• Manage Qlik Sense Enterprise/Qlik Cloud environments and QMC, including application, reload and access administration.
• Validate and reconcile dashboard/KPI figures against source systems and resolve data discrepancies.
• Maintain metadata, data lineage, data dictionaries and reporting asset documentation.
• Lead Qlik migration, re-architecture and modernization initiatives from solution design through production deployment.
• Conduct architecture/design reviews, provide technical guidance, and mentor Qlik developers.
• Collaborate with business, data, risk, compliance and technology teams to translate reporting requirements into scalable Qlik solutions.
• Support production issues, root-cause analysis and continuous improvement of the Qlik platform.
• Where applicable, integrate NPrinting, Qlik Automate, Engine/Capability APIs and Power BI into the reporting ecosystem.

Domain

• Qlik delivery inside enterprise for compliance, risk or regulatory users.

• Multi-country, multi-segment access models in a regulated company.

Qlik Experience

• Domain-driven Qlik experience: a central foundation data model, consolidated QVD layers and independently deployable subject-area apps.

• Section Access and row-level security by country, business unit, customer segment and function, including security migrations with minimal report redesign.

• Master measures, dimensions, KPIs and dashboard templates; development standards for multi-team estates.

• Reload and app performance tuning at billions-of-rows scale.

• Pushing transformation logic down to the data warehouse using SQL on Teradata and Trino/Impala.

• Qlik Sense Enterprise and Qlik Cloud, QMC, scripting, incremental loads and ODAG.

Data and governance

• Metadata, lineage and data dictionary management for reporting assets.

• Reconciling dashboard figures to source systems.

Delivery and communication

• Leading a Qlik re-architecture or migration from design to production.

• Guiding Qlik developers and running design reviews.

Good-to-have skills

• Qlik NPrinting, Qlik Automate, and the Engine and Capability APIs.

• Microsoft Power BI: DAX, RLS and semantic models.

• Exposing report catalogues and KPI definitions to generative BI or LLM tools.