Senior Azure Data Engineer: Lakehouse Architect

Embedded Shishya; Turkey; Remote; TRY 5,306,000 - 8,201,000; Full time

Job summary

KD Pharma is seeking a hands-on Senior Azure Data Engineer to help assess, design, and prototype a modern data platform supporting Finance, Operations/Supply Chain, and Quality/Manufacturing. The role combines discovery, architecture design and hands‑on PoC work during a six‑week initial phase.

You will collaborate with the Solution Architect and client stakeholders to define the target architecture, platform approach, and a practical implementation roadmap for a scalable Microsoft‑based data

Qualifications

• 6+ years of experience in data engineering, BI or enterprise data platforms.
• Strong hands‑on experience with the Microsoft Azure data ecosystem.
• Strong experience with Azure Data Factory and modern data lake / lakehouse architectures.
• Practical commercial experience with Microsoft Fabric, including Lakehouse and/or Warehouse components.
• Advanced SQL / T-SQL
• Experience with Python and/or PySpark
• Strong understanding of ETL/ELT, data integration and medallion architecture patterns.
• Experience designing solutions that integrate multiple enterprise source systems.
• Good understanding of Power BI, dimensional modelling and semantic-layer concepts.
• Experience with Git, Azure DevOps and CI/CD practices in data‑platform environments
• Experience contributing to technical discovery, architecture design, technology selection, estimation or implementation planning

Responsibilities

• Assess the current data estate, including source systems, integrations, ETL/data flows, Power BI dependencies and existing Fabric components.
• Understand and document existing data flows and technical dependencies, helping preserve critical knowledge of the current environment.
• Identify data-quality, integration, scalability and maintainability issues.
• Contribute to the design of the target bronze / silver / gold lakehouse architecture.
• Define scalable ingestion and transformation patterns for multiple ERP and other enterprise data sources.
• Evaluate Microsoft Fabric, Azure Data Factory and Databricks and contribute to the platform recommendation.
• Assess technical trade‑offs including platform fit, maintainability, performance and operating cost.
• Define the first end‑to‑end PoC together with its scope and technical success criteria.
• Contribute to implementation estimates, sequencing and the wider technical roadmap.
• Collaborate closely with the Solution Architect and client stakeholders throughout Discovery.
• Potentially transition into hands‑on implementation of the platform following client approval

Skills

Azure data services

Azure Data Factory

Databricks

SQL

Python / PySpark

Power BI

Git / Azure DevOps

Data lakehouse

Architecture design

T-SQL

Tools

Microsoft Fabric

Databricks

Power BI

Job description

KD Pharma is seeking a hands-on Senior Azure Data Engineer to help assess, design, and prototype a modern data platform supporting Finance, Operations/Supply Chain, and Quality/Manufacturing. The role combines discovery, architecture design and hands‑on PoC work during a six‑week initial phase.

You will collaborate with the Solution Architect and client stakeholders to define the target architecture, platform approach, and a practical implementation roadmap for a scalable Microsoft‑based data