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- Tasks: Build Azure data pipelines and create impactful Power BI dashboards.
- Company: EVOCS delivers scalable data solutions for enterprise clients across the EMEA region.
- Benefits: Work remotely, enjoy flexible hours, and access corporate perks.
- Why this job: Join a dynamic team, enhance your skills, and make a real impact in data engineering.
- Qualifications: 5+ years in data engineering with strong Azure and Power BI expertise required.
- Other info: Open to applicants across EMEA; must work standard EMEA business hours.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
- 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.
- 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.
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.
- Microsoft certifications such as PL-300, DP-203, or DP-500 are preferred.
Contact Detail:
Evolution Cloud Services (EVOCS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Power Bi and Azure
✨Tip Number 1
Familiarise yourself with the Microsoft data stack, especially Azure Data Factory, Synapse, and Databricks. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your capability to potential employers.
✨Tip Number 2
Engage in online communities or forums related to Power BI and Azure. Networking with professionals in the field can provide insights into current trends and best practices, which can be invaluable during interviews.
✨Tip Number 3
Consider working on personal projects that involve building data pipelines and dashboards using Azure and Power BI. This practical experience can serve as a great talking point in interviews and showcase your skills effectively.
✨Tip Number 4
Stay updated on the latest features and updates in Microsoft Fabric, particularly OneLake and Lakehouse architecture. Being knowledgeable about recent advancements can set you apart from other candidates and show your commitment to continuous learning.
We think you need these skills to ace Data Engineer, Power Bi and Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Synapse, and Databricks. Include specific projects where you've built data pipelines or developed Power BI dashboards, emphasising your skills in DAX and Power Query.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on experience with Microsoft Fabric and how it aligns with the job requirements. Be sure to include examples of how you've contributed to data quality and governance in previous roles.
Showcase Relevant Projects: If you have worked on projects involving real-time data processing or CI/CD workflows, be sure to mention these. Highlight any experience with tools like Event Hubs or Kafka, as well as your proficiency in SQL and performance optimisation.
Highlight Certifications: If you hold any relevant Microsoft certifications such as PL-300, DP-203, or DP-500, make sure to include them prominently in your application. This can set you apart from other candidates and demonstrate your commitment to professional development.
How to prepare for a job interview at Evolution Cloud Services (EVOCS)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Synapse, and Databricks in detail. Highlight specific projects where you've built data pipelines or developed Power BI dashboards, focusing on the technical challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Microsoft Fabric
Since the role requires expertise in Microsoft Fabric, make sure to brush up on OneLake, Lakehouse architecture, and semantic modeling. Be ready to explain how you've integrated these features into your previous work and the impact they had on your projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time data processing and CI/CD workflows. Think of examples from your past experiences where you successfully implemented solutions using tools like Event Hubs or Azure DevOps.
✨Emphasise Collaboration and Agile Experience
As the role involves working with distributed teams, highlight your experience in agile environments. Share examples of how you've collaborated with technical stakeholders and contributed to team success, especially in delivering scalable data solutions.
