Data Platform Engineer/Architect – Contractor

Devtech

. Set up a data warehouse from scratch through the first working reporting layer .

Posted 9/24/2026full-timeBelgrade • SerbiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering end-to-end data warehouses, including ingestion architecture, data quality management, and BI reporting with Power BI. Proficient in AI data enablement and governance, ensuring safe data preparation and effective collaboration with business stakeholders.

Highest-signal resume keywords

Data Warehouse DesignIngestion ArchitecturePower BI ReportingData GovernanceAI Data Enablement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehouseData CleansingDimensional ModellingQuality GatesSemantic LayerFeature EngineeringML EnablementOperational KPIsData ValidationAutomated Pipelines

Soft Skills

Stakeholder CollaborationTechnical PlanningProblem Solving

Tools & Technologies

Power BIVector DatabasesEmbeddingsDocument ProcessingRAG

Industry Keywords

Supply ChainLogisticsDistributionFood and Agriculture

About the role

Key responsibilities & impact

Set up a data warehouse from scratch through the first working reporting layer
Design and build warehouse modelling that supports additional source systems
Build ingestion architecture, pipelines, quality gates, and orchestration
Own data cleansing, deduplication, validation rules, and reconciliation across sources
Define the semantic layer with shared metric and entity definitions
Deliver dashboards, drill-down reporting, and operational KPIs in Power BI
Establish AI governance, access control, and safe data preparation for model consumption
Enable RAG and agents through embeddings, vector search, document processing, and retrieval design
Define the AI roadmap from AI-assisted analytics through predictive models and an internal AI assistant
Make early architecture decisions for extending the platform into AI capabilities
Work directly with business stakeholders to sequence technical plans

Requirements

What you’ll need

Substantial experience designing and delivering data warehouses end to end across multiple source systems
Strong ingestion and orchestration engineering experience, including batch and incremental pipelines, automated quality gates, and monitoring
Demonstrable data quality and hygiene experience, including cleansing messy source data and making it trustworthy
Experience with semantic layers and dimensional modelling
BI delivery experience, ideally Power BI, including dashboards, drill-downs, and operational KPI reporting
Data governance fundamentals, including lineage, access control, and PII handling
Practical familiarity with AI data enablement, including RAG, embeddings, vector databases, or preparing data for model access
Comfort working directly with business stakeholders and translating vague asks into a sequenced technical plan
Feature engineering or ML enablement for forecasting, risk, or inventory planning use cases is a plus
Natural-language analytics over a governed semantic model is a plus
Internal AI assistant, agent, or workflow automation delivery is a plus
Domain exposure to supply chain, logistics, distribution, or food and agriculture is a plus

Benefits

Comp & perks

Environment of autonomy, mastery, and purpose
Opportunities for growth and professional development through impactful work
Opportunity to work on next-gen cloud and AI solutions
Hybrid work arrangement