EVOCS is looking for a Senior Azure Data Engineer with Power BI + Fabric expertise to support the delivery of scalable data solutions for enterprise clients. This is a hands-on individual contributor role focused on building modern Azure-based data pipelines and developing well-structured, high-impact dashboards in Power BI. The ideal candidate has deep experience across the Microsoft data stack and is comfortable working across ingestion, transformation, and reporting layers. Experience working with data from platforms like Procore is a plus.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
You’ll also play a key role in anchoring our delivery presence in the EMEA region and owning implementations end-to-end in collaboration with senior technical stakeholders.
Strong experience with Microsoft Fabric - particularly OneLake, semantic modeling, and Power BI integration workflows is
required
. Strong communication skills are essential, particularly the ability to articulate technical choices and navigate challenging peer discussions across teams.
The ideal candidate is proactive, technically sharp, and comfortable leading delivery in lean or ambiguous environments.
We welcome applicants from across the EMEA region, as long as you're available to work standard EMEA business hours
Responsibilities
Build and maintain data pipelines using Azure Data Factory, Synapse, and Databricks
Develop Power BI dashboards with strong attention to data modeling, DAX, and Power Query (M)
Contribute to the design of semantic models, data marts, and data warehouse structures
Integrate data from various sources including SQL databases, APIs, and cloud storage (e.g., Azure Data Lake, OneLake)
Implement and maintain standards around data quality, security, and governance
Participate in discussions with cross-functional teams to ensure that technical solutions align with business needs
Support CI/CD processes for data workflows using Git, Azure DevOps, or similar tools
Assist in real-time and event-driven data processing using tools such as Event Hubs, Kafka, or equivalents
Drive usage of Microsoft Fabric features within modern data architectures, especially OneLake, Lakehouse, and Direct Lake Power BI datasets
Effectively communicate across diverse technical stakeholders and navigate challenging peer review or architectural debates
Qualifications
5+ years of experience in data engineering with a strong focus on Microsoft Azure
Practical experience with Azure Data Factory, Synapse Analytics, Azure Databricks, and Azure SQL
Advanced Power BI development skills, including DAX, Power Query, and visual/report design
Strong SQL proficiency, including performance optimization and query tuning
Extensive, hands-on experience with Microsoft Fabric – including Lakehouse architecture, OneLake storage design, semantic modeling, and Power BI integration best practices
Hands-on experience with Microsoft Fabric and OneLake
Experience with Python or Scala for data processing is preferred
Exposure to CI/CD workflows and DevOps practices in a data engineering context
Comfortable working in agile, collaborative environments with distributed teams
Exceptional interpersonal and communication skills, including navigating feedback and technical disagreements within peer groups
Microsoft certifications such as PL-300, DP-203, or DP-500 are preferred
