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.

Skills

Foundations, large datasets, Regulatory Compliance, Risk, managing large volumes of data, Scripting, Data Governance, System Migration, Centralized Database, SQL, QlikView Development, Access Control Management, achieving KPIs, application performance, Team Building, Teradata Data Warehouse, Qa Standards