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- Tasks: Build Azure data pipelines and create impactful Power BI dashboards.
- Company: Join EVOCS, a leader in delivering scalable data solutions for enterprise clients.
- Benefits: Enjoy flexible working hours and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team shaping data solutions across the EMEA region.
- Qualifications: 5+ years in data engineering with strong Azure and Power BI skills required.
- Other info: Remote applicants from EMEA are welcome; must work standard EMEA hours.
The predicted salary is between 54000 - 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
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 (City of London)
✨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 commitment to the role.
✨Tip Number 2
Engage with online communities or forums focused on Azure Data Engineering and Power BI. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for job opportunities.
✨Tip Number 3
Prepare to showcase your experience with data pipelines and dashboards by creating a portfolio of your work. Highlight specific projects where you used Azure Data Factory, Synapse, and Power BI, as this will give you a competitive edge.
✨Tip Number 4
Brush up on your communication skills, particularly in articulating technical concepts to non-technical stakeholders. Practising how to explain your technical choices clearly can set you apart in interviews, especially for a role that requires collaboration across teams.
We think you need these skills to ace Senior Azure Data Engineer + Power BI (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Synapse, and Power BI. Emphasise your hands-on experience with Microsoft Fabric and any relevant projects that showcase your skills in building data pipelines and dashboards.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the ideal candidate for this role. Mention your 5+ years of experience in data engineering and how your skills align with the responsibilities outlined in the job description. Be sure to include specific examples of your work with data ingestion, transformation, and reporting.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including a section in your application that demonstrates your ability to articulate technical concepts. You could mention experiences where you successfully navigated peer discussions or collaborated with cross-functional teams.
Highlight Relevant Certifications: If you have any Microsoft certifications such as PL-300, DP-203, or DP-500, make sure to highlight these in your application. Certifications can set you apart from other candidates and demonstrate your commitment to professional development in the field of data engineering.
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.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in ambiguous environments. Think of examples where you had to lead a project with limited guidance, and be ready to discuss how you navigated challenges and made decisions.
✨Familiarise Yourself with Microsoft Fabric
Given the emphasis on Microsoft Fabric, ensure you understand its features, 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.
