Senior Data Engineer / BI & Resource Analytics Specialist
Panda International
Beerse, Belgium
3 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Languages
Dutch, English
Job source
Tech stack
Artificial Intelligence
Data Analysis
Information Engineering
Extract Transform Load (ETL)
Data Systems
Document-Oriented Databases
Planisware
Power BI
Standard Sql
SAP (Applications)
SAP HANA
Data Streaming
+7 more
Systems Integration
Tableau (Software)
Enterprise Data Management
Snowflake
Build Management
Data Inconsistencies
Data Pipelines
Job description
- Design and build Snowflake L3 data models and scalable ETL/ELT pipelines.
- Integrate enterprise data across actuals, demand, supply, resource allocation and portfolio planning.
- Identify and resolve cross-system data inconsistencies and improve existing data models.
- Build and maintain Tableau Prep flows, Tableau dashboards and Power BI reporting.
- Support migration from legacy data flows to a Snowflake-based architecture.
- Translate complex business requirements into structured, scalable data solutions.
- Work with portfolio, resource and financial data including FTEs, allocations, costs and forecasts.
- Act as the bridge between business, data and IT teams.
- Build AI agents, automated checks and Copilot Desktop flows.
- Document data flows, transformations and business rules.
Requirements
- 6-8+ years of relevant Data Engineering / BI experience.
- Advanced Snowflake and expert-level SQL skills.
- Strong ETL/ELT and data modelling experience.
- Advanced Tableau Desktop & Tableau Prep experience.
- Strong Power BI experience.
- Experience integrating and reconciling data across multiple enterprise systems.
- Understanding of portfolio planning, resource forecasting and FTE/financial planning.
- Strong requirements gathering and stakeholder management skills.
- Ability to troubleshoot complex data issues and perform root-cause analysis.
- Comfortable working with ambiguous requirements and challenging existing data definitions.
- Fluent English.
- Able to work at least 1 day per week on-site in Beerse.
Preferred Requirements
- Experience with Planisware, SAP, Beacon and/or HANA.
- Experience migrating legacy data solutions to Snowflake.
- Experience with AI agents, Copilot or automated data-quality checks.
- Pharmaceutical / life sciences experience.
- Dutch language skills.
- Belgium-based or within commuting distance of Beerse.
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Apply on www.adzuna.be
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