As a Data Engineer Analytics, you will work on all phases of the creation, maintenance, and evolution of analytical applications in an international environment, including data loading, transformation, and reporting applications. You will interact with a wide range of stakeholders across various business areas: sales, supply chain, web analytics, finance, etc.
About the Role
As a Data Engineer Analytics, you will work on all phases of the creation, maintenance, and evolution of analytical applications in an international environment, including data loading, transformation, and reporting applications.
Responsibilities
Share your expertise with other Data Engineers and business users
Work closely with Data Architects, domain managers, and security teams
Maintain and develop Talend flows
Maintain and develop Qlik Cloud Analytics applications
Ensure proper documentation updates
Stay up to date with Qlik technologies and proactively suggest new features and improvements.
Qualifications
Degree: Bachelor’s or master’s degree in engineering
Experience: Minimum of 2 years of experience with Qlik Sense
English fluent (B2)
Nice to have: Skill with Talend
Required Skills
Programming languages: SQL
Storage services: S3, Box
Processing: Talend Studio (nice to have), Qlik pipelines (DBT is a plus)
Reporting: Qliksense (or significant experience with Power BI or Tableau), reporting files (CSV, Excel)
Collaboration and CI/CD tools: GitLab, GitHub
Databases: SQL Server, Snowflake, PostgreSQL, MariaDB
Data modeling: Lakehouse, Inmon, Kimball
Testing: writing technical test cases, non-regression testing
Project/ticketing tools: ServiceNow, Monday
Functional knowledge: sales, supply chain, manufacturing, finance, web analytics
Preferred Skills
Knowledge of Generative AI / MLOps
Knowledge of X3 and/or Odoo
Knowledge of Java or Python