Data Engineer

Pauwels Consulting; Beerse; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Pauwels Consulting in Beerse seeks an expert data engineer to design and deliver integrated, governed data solutions for portfolio planning and resource forecasting.

You will build Layer 3 data models, ETL/ELT pipelines in a cloud environment, and integrate SAP HANA data into unified datasets for executive decision-making. The role focuses on modern architectures, performance, and cross-system consistency.

Qualifications

• 8+ years of data engineering experience focusing on Snowflake and expert-level SQL.
• 8+ years of BI experience using Tableau (Desktop and Prep) and Power BI.
• Extensive experience designing ETL/ELT frameworks and data transformation pipelines.
• In-depth knowledge of portfolio planning, resource forecasting, and financial planning.
• Proven data modeling and performance optimization for large-scale transformations.
• Strong experience integrating cross-domain enterprise data from SAP HANA.
• Excellent problem-solving and root-cause analysis skills.
• Exceptional technical communication with IT and business stakeholders.
• Fluent in English.

Responsabilités

• Design and build Layer 3 data models and scalable ETL/ELT pipelines in a cloud environment.
• Integrate disparate data sources including demand, supply, and financial actuals into unified datasets.
• Develop and maintain advanced transformation flows for migrations from legacy systems to modern architectures.
• Translate ambiguous business requirements into structured data solutions and actionable insights.
• Enable scalable reporting by building robust data models and dashboards for executive decision-making.
• Identify pragmatic AI use cases for forecasting improvements and trend detection.

Connaissances

Snowflake

SQL

Tableau

Power BI

ETL/ELT

Data modeling

Portfolio planning

Resource forecasting

Financial planning

Data integration

SAP HANA

Problem solving

Technical communication

Outils

Snowflake

Tableau

Power BI

SAP HANA

Planisware

Description du poste

Our client, a leading global organization, is seeking an expert to design and deliver integrated, governed data solutions supporting portfolio planning and resource forecasting. This role focuses on building advanced data structures while bridging the gap between business needs and IT infrastructure to ensure data consistency across systems.

• Design and build Layer 3 data models and scalable ETL/ELT pipelines in a cloud environment.
• Integrate disparate data sources including demand, supply, and financial actuals into unified datasets.
• Develop and maintain advanced transformation flows to support migrations from legacy systems to modern architectures.
• Translate ambiguous business requirements into structured data solutions and actionable insights.
• Enable scalable reporting by building robust data models and dashboards for executive decision-making.
• Identify pragmatic AI use cases for forecasting improvements and trend detection.

• 8+ years of data engineering experience focusing on Snowflake and expert-level SQL.
• 8+ years of experience in business intelligence using Tableau (Desktop and Prep) and Power BI.
• Extensive experience designing ETL/ELT frameworks and data transformation pipelines.
• In-depth functional knowledge of portfolio planning, resource forecasting, and financial planning.
• Proven expertise in data modeling and performance optimization for large-scale transformations.
• Strong experience integrating cross-domain enterprise data from systems like SAP HANA.
• You possess strong problem-solving and root cause analysis skills to resolve cross-system data inconsistencies.
• You bring exceptional technical communication skills to engage with both IT and business stakeholders.
• You are fluent in English.

Nice to Haves

• Experience with Planisware for portfolio and project data management.
• Knowledge of practical AI/ML applications and building flows with Copilot.
• Active knowledge of Dutch.

• Start date: ASAP
• Duration: 1 year
• Work regime: Full-time
• Location: Beerse
• Working model: Hybrid (minimum 1 day per week onsite)
• Contract: open to both permanent employees and freelancers