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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: Enjoy flexible working hours and opportunities for professional growth.
- Why this job: Join a dynamic team, lead innovative projects, and make a real impact in data engineering.
- Qualifications: 5+ years in data engineering with strong Azure and Power BI skills required.
- Other info: Remote work available; applicants from the EMEA region encouraged to apply.
The predicted salary is between 48000 - 84000 £ 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. 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
- 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
Senior Azure Data Engineer + Power BI employer: Evolution Cloud Services (EVOCS)
Contact Detail:
Evolution Cloud Services (EVOCS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer + Power BI
✨Tip Number 1
Familiarise yourself with the latest features of Microsoft Fabric, especially OneLake and Lakehouse architecture. Being able to discuss these topics confidently during interviews will demonstrate your up-to-date knowledge and enthusiasm for the role.
✨Tip Number 2
Network with professionals in the Azure data engineering field, particularly those who have experience with Power BI and Microsoft Fabric. Engaging in relevant online communities or attending industry meetups can provide valuable insights and connections that may help you stand out.
✨Tip Number 3
Prepare to showcase your problem-solving skills by discussing past projects where you built data pipelines or dashboards. Be ready to explain your thought process and the technical choices you made, as this will highlight your hands-on experience and ability to navigate complex challenges.
✨Tip Number 4
Brush up on your communication skills, especially in articulating technical concepts to non-technical stakeholders. This is crucial for the role, so practice explaining your work in simple terms to ensure you can effectively collaborate with diverse teams.
We think you need these skills to ace Senior Azure Data Engineer + Power BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Synapse, and Power BI. Include specific projects where you've built data pipelines or dashboards, and emphasise your familiarity with Microsoft Fabric and OneLake.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the job description. Mention your experience in leading data engineering projects and your ability to communicate technical concepts effectively.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your contributions to data modelling, DAX, and any experience with CI/CD processes.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail. Prepare examples of how you've solved complex data engineering challenges, particularly those involving Azure services and Power BI, as well as your approach to data quality and governance.
How to prepare for a job interview at Evolution Cloud Services (EVOCS)
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure Data Factory, Synapse, and Databricks. Highlight specific projects where you've built data pipelines or developed Power BI dashboards, focusing on your use of DAX and Power Query.
✨Demonstrate Communication Skills
Since strong communication is essential for this role, practice articulating your technical choices clearly. Be ready to explain complex concepts in a way that non-technical stakeholders can understand, and prepare for potential peer discussions.
✨Familiarise Yourself with Microsoft Fabric
Make sure you understand the features of Microsoft Fabric, especially OneLake and Lakehouse architecture. Be ready to discuss how you've integrated these into your previous work and how they can enhance data solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in ambiguous environments. Think of examples where you've had to lead delivery or make critical decisions under pressure, and be ready to share your thought process.
