Senior Data Engineer & BI Architect (Snowflake)

Akkodis; Vlaanderen; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Permanent contract

Competitive salary package

Training & development

Cross-domain exposure

Résumé du poste

Akkodis Belgium seeks a Senior Data Engineer BI embedded in a key client’s data and analytics team to design governed data solutions for portfolio planning and resource forecasting.

You will bridge business, data and IT, tackle a fragmented data landscape, translate evolving requirements into structured data products with end-to-end ownership.

Proficiency in Snowflake, SQL, ETL/ELT, Tableau and Power BI is required, along with experience in portfolio planning and cross-domain data integration.

Qualifications

• Advanced Snowflake expertise in data modeling and performance optimization.
• Expert-level SQL with extensive ETL/ELT experience.
• Proficient in Tableau and Power BI for dashboards.
• Strong understanding of portfolio planning and resource forecasting.
• Ability to translate questions into data models and rules.

Responsabilités

• Design and build layered Snowflake data models and scalable ETL/ELT pipelines.
• Integrate sources (demand, supply, actuals, allocation, portfolio) into a unified model.
• Develop Tableau/Power BI dashboards delivering executive insights.
• Work with Planisware, Beacon and SAP for cross-domain data.
• Translate questions into data requirements and model structures.
• Document data flows, transformations and business rules.

Connaissances

Snowflake modeling

SQL

ETL/ELT

Tableau

Power BI

Stakeholder comms

Data governance

Formation

Bachelor’s degree in Supply Chain, Business Administration or related discipline

Outils

Planisware

Beacon

SAP

Snowflake

Description du poste

Akkodis Belgium seeks a Senior Data Engineer BI embedded in a key client’s data and analytics team to design governed data solutions for portfolio planning and resource forecasting.

You will bridge business, data and IT, tackle a fragmented data landscape, translate evolving requirements into structured data products with end-to-end ownership.

Proficiency in Snowflake, SQL, ETL/ELT, Tableau and Power BI is required, along with experience in portfolio planning and cross-domain data integration.