Background

Swisscontact is an independent non-profit development organisation established in 1959 by representatives of the Swiss private sector and civil society. Our work focuses on private sector-led, sustainable economic development and improved quality of life for all in developing and emerging countries. A key focus is to strengthen the skills of individuals and foster the competitiveness of businesses.

Responsibilities

End-to-End Data Products: Architect and build Fabric-native data solutions—OneLake-backed Lakehouses and Datamarts, medallion-layer models, and governed semantic models - for Finance, CRM, HRM, and M&E domains.

Analytics & BI: Design high-quality Power BI datasets and reports (DAX/Tabular) with row-level security, certified datasets, and metrics for executive and operational decision-making.

ML/AI Delivery: Develop, train, and deploy Python models (classification, regression, forecasting, NLP, recommender systems). Implement feature stores, model versioning, and automated retraining.

Pipelines & Orchestration: Build reliable ingestion and transformation with Fabric Data Factory/Synapse (Spark/SQL). Enforce CI/CD, testing, lineage, and monitoring.

Data Quality & Governance: Define data contracts, validation rules, and documentation; champion privacy, compliance, and responsible AI.

Collaboration & Enablement: Partner closely with Finance, Business Development, HR, and M&E teams to translate requirements into technical designs. Coach M&E colleagues, and data consumers across the organization; Promote best practices.

Qualifications

Education: Bachelor’s or higher in Data Science, Computer Science, Statistics, Engineering, or a related field.

Experience: 4–5+ years delivering analytics and ML solutions

Platform Expertise: The organisation is currently active in over 130 projects in 41 countries with around 1100 employees. It is headquartered in Zurich, Switzerland.

Microsoft Fabric: OneLake, Lakehouse (Delta), Data Engineering (Spark), Data Factory pipelines, Synapse SQL.

Power BI: Data modeling, DAX, performance optimization, governance (certified datasets, RLS).

Python for ML/AI: pandas, numpy, scikit-learn, PySpark; solid understanding of model design, evaluation, and MLOps.

• Architect and build Fabric-native data solutions—OneLake-backed Lakehouses and Datamarts, medallion-layer models, and governed semantic models - for Finance, CRM, HRM, and M&E domains.
• Design high-quality Power BI datasets and reports (DAX/Tabular) with row-level security, certified datasets, and metrics for executive and operational decision-making.
• Develop, train, and deploy Python models (classification, regression, forecasting, NLP, recommender systems). Implement feature stores, model versioning, and automated retraining.
• Build reliable ingestion and transformation with Fabric Data Factory/Synapse (Spark/SQL). Enforce CI/CD, testing, lineage, and monitoring.
• Define data contracts, validation rules, and documentation; champion privacy, compliance, and responsible AI.
• Partner closely with Finance, Business Development, HR, and M&E teams to translate requirements into technical designs. Coach M&E colleagues, and data consumers across the organization; Promote best practices.

• Microsoft Fabric (OneLake, Lakehouse, Data Engineering, Data Factory, Synapse SQL)
• Power BI (Data modeling, DAX, performance optimization, governance)
• Python for ML/AI (pandas, numpy, scikit-learn, PySpark)
• Model design, evaluation, and MLOps

• Bachelor’s or higher in Data Science, Computer Science, Statistics, Engineering, or a related field.
• 4–5+ years delivering analytics and ML solutions