Senior Data Engineer (Azure)

Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognised as one of the leading technology companies in Romania. Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions. At Sedona, we: Obsess about our customers Build robust, scalable technical solutions Create an open, collaborative culture Invest in learning and long‑term careers We are looking for a Senior Data Engineer with strong experience in Azure‑based data platforms, including data lake and data warehouse architectures, orchestration with Azure Data Factory, and analytics using Azure Synapse and Power BI. The ideal candidate is comfortable working independently, making sound technical decisions, and supporting clients as they modernise their data estates. Responsibilities: 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.