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Back in the day, when data warehouses were king and everyone was drowning in star schemas, along came Qlik. It promised associative data discovery – a fancy way of saying “let’s let users explore without pre-defined paths.” Quite clever, really, though one does wonder if empowering analysts with too much freedom simply creates more questions than answers.

The reality? It’s a powerful in-memory analytics engine. Think drag-and-drop dashboards meets a scripting language that can quickly become…involved. While Tableau and Power BI focus on visual polish and ease of use, Qlik offers more granular control, appealing to the technically inclined. Still widely used in large enterprises, particularly those with complex data models, it’s a bit like a Swiss Army knife – capable of almost anything, but perhaps not always the prettiest tool in the shed.

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Jobs in using Qlik for but please no

data engineer

Senior Data Management Professional - Data Engineer - BNEF Data, Singapore @ bloomberg

SG | 2025-12-27
As Bloomberg’s BNEF Data Analyst in Singapore, you’ll grow renewable projects databases by shaping the data model, pipelines and quality specs, and you’ll coordinate with Engineering, Product, and... read more »
Analytics, Data Modelling, Data Quality, Management, AI/ML, Computer Science, Data Management, Python, SQL, Qlik, Tableau
data engineer

Senior Data Management Professional - Data Engineering - APAC New Issues, Tokyo @ bloomberg

JP | 2025-12-27
Senior Data Management Professional - Data Engineering at Bloomberg in Tokyo demands a bilingual, technically hands‑on lead who can cradle the corporate bonds pipeline from ingestion to... read more »
Data Management, Data Engineering, Analytics, BI, ETL/ELT, DataViz, Python, Data Quality, Management, Data Science, AI/ML, Qlik, Superset, Agile/Scrum
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

Stagiaire de fin d'études - Consultant Data Engineer - 2026 - H/F @ forvis-mazars-en-france

FR | 2025-12-26
At Forvis Mazars, the Data & IA team hires a data engineer to migrate SAS scripts to R, build end-to-end data pipelines, and deploy across public and private clouds. The role combines legacy SAS... read more »
AI/ML, DataViz, Data Science, Data Engineering, SAS, R, SQL, API, BI, Marketing, Cloud Computing, AWS Lambda, Azure, GCP, Kubernetes, MLOps, CI/CD, Git, GitLab, DevOps, Ansible, Docker, AWS, Power BI, Qlik, Tableau, Python
data engineer

Full Stack Developer (Java/Angular) with Data - Hybrid Málaga @ ustglobal

ES | 2025-12-23
UST’s Málaga posting sells a hybrid Full Stack Developer role that’s supposedly data-centric but reads like a data-platform engineer with Java/Angular DNA. You’ll build systems for financial... read more »
Java, Unix, Data Analytics, Power BI, Qlik, Databricks, AWS
GB | 2025-12-22
This role involves building and scaling data pipelines, dashboards, and analytical infrastructure for international customer success insights, combining data engineering and analytics. A key... read more »
Dashboard, Analytics, Data Engineering, Data Analytics, SQL, Data Modelling, Big Data, Snowflake, Databricks, Spark, AWS, GCP, Azure, Tableau, Power BI, Looker, Python, R, API, Git, KPI, ETL/ELT, Data Governance, Qlik, BI, Data Science, Cloud Computing, CI/CD
data engineer

Big Data Engineer @ kpmg-espana

ES | 2025-12-21
In Madrid, KPMG Lighthouse’s Data & Analytics center seeks a Big Data Engineer with 3–4 years’ experience to fuse traditional BI and data modeling with Azure cloud architectures, Spark and... read more »
Analytics, Big Data, Informatica, BI, Azure, ETL/ELT, Power BI, Qlik, Spark, Databricks, Python, R, Java, Cloud Computing, SQL, NoSQL, Agile/Scrum, Docker, Kubernetes