We are looking for an experienced Senior Data Engineer/Architect to help design and implement a modern data lakehouse platform from scratch. This role combines hands‑on engineering with strategic decision‑making around scalable data solutions.
• Design and implement a greenfield data lakehouse architecture.
• Build and optimise data models, schemas, and integration patterns.
• Develop scalable data storage and processing solutions using Azure and open‑source components.
• Implement data ingestion pipelines (ETL/ELT) and high‑performance query APIs.
• Integrate the platform with enterprise systems, ensuring data consistency and quality.
• Create technical documentation, establish standards, and define data governance policies.
• At least 5 years of hands‑on experience with Microsoft Azure data services.
• Proven track record of delivering large‑scale data projects using Azure / Databricks / Spark.
• Proficiency with Microsoft Azure Data Platform (Synapse, Data Factory, SQL Databases, Data Lake).
• Practical experience with Spark or other big data frameworks.
• Excellent knowledge of SQL, including query optimisation.
• Skills in .NET Core.
• Solid understanding of data modelling techniques and pipeline design (ETL/ELT).
Benefits
• 100% remote work and flexible hours.
• Opportunity to build a greenfield data platform from the ground up.
• Work with the latest cloud‑based technologies.
• High degree of independence and real impact on technology choices.
Seniority level
• Mid‑Senior level
Employment type
• Full‑time
Industries
• Outsourcing and Offshoring Consulting
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