Senior Data Engineer, Azure

🕒 March 4

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Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🤝 B2B

Artificial Intelligence • Cybersecurity • B2B

Sedona Digital is a process-led technology consultancy that helps enterprises define strategy, build AI- and data-driven products, modernise applications and secure and operate cloud-native environments. They offer services across technology strategy, data architecture and engineering, AI and predictive analytics, software product engineering, cloud migration and Azure managed services, DevOps/CICD, plus security and managed SOC capabilities to deliver ongoing operations and compliance.

📋 Description

• Design, build, and maintain end‑to‑end data pipelines in Azure using Azure Data Factory, Azure Blob Storage / ADLS, and Azure Synapse Analytics. • Implement and maintain Azure‑based data lakes, including raw, staged, and curated layers, following agreed standards and best practices. • Design and optimise Azure Synapse Analytics environments, including table structures, distribution strategies, partitioning, and performance tuning. • Develop ingestion patterns for data sourced from on‑premises SQL Server, Azure SQL Database, other relational databases, and Cosmos DB. • Build secure and scalable orchestration workflows using Azure Data Factory for batch‑oriented data processing. • Implement secure authentication and access control using Azure Active Directory, ensuring proper role‑based access and least‑privilege principles. • Develop reusable, maintainable transformation logic aligned with agreed data modelling and semantic‑layer standards. • Support analytical workloads through integration with Azure Analysis Services and downstream consumption in Power BI. • Monitor, troubleshoot, and improve pipeline reliability, data quality, and platform performance. • Collaborate with architects, analysts, and client stakeholders to translate business requirements into scalable Azure data solutions. • Contribute to defining and enforcing data engineering standards, security practices, and governance patterns. • Support clients during platform adoption, knowledge transfer, and handover.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • 5+ years of experience in data engineering, ETL/ELT development, and data integration. • Strong hands‑on experience with Microsoft Azure, including Azure Data Factory, Azure Blob Storage / ADLS, Azure Synapse Analytics, and Azure SQL. • Solid understanding of data lake and data warehouse architectures. • Experience designing and operating batch‑oriented data pipelines at scale. • Strong SQL skills and experience with data modelling (facts, dimensions, semantic layers). • Experience with Python or similar languages for data processing and automation. • Familiarity with Azure Active Directory and secure authentication patterns. • Ability to work independently, manage changing priorities, and make pragmatic technical decisions. • Strong communication skills in English, with the ability to explain technical concepts clearly. • A relevant Microsoft Azure certification is required, or the successful candidate will complete one within the probation period.

🏖️ Benefits

• Work from home • Medical insurance given after probation period • Training on market trends and client needs • Continuous learning and personal development opportunities • Holiday allowance in line with local legislation • Competitive compensation package • Performance - based bonus • Fun budget for team events