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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 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 - Azure, Power Bi
✨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 with the Power BI community online. Participate in forums, webinars, or local meetups to network with other professionals. This can provide insights into industry trends and may even lead to job referrals.
✨Tip Number 3
Showcase your expertise in Microsoft Fabric by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point during interviews and sets you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering scenarios, particularly those involving Azure and Power BI. Being able to articulate your thought process and problem-solving skills will impress interviewers.
We think you need these skills to ace Data Engineer - Azure, 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, explain why you're passionate about data engineering and how your skills align with the role at EVOCS. Mention your experience with CI/CD processes and any relevant certifications to strengthen your application.
Showcase Relevant Projects: If you have worked on projects involving data ingestion, transformation, or reporting, be sure to include these in your application. Highlight your contributions and the impact of your work, especially if it involved tools like Event Hubs or Kafka.
Highlight Soft Skills: Since this role involves collaboration with senior technical stakeholders, mention your ability to work in agile environments and your experience in distributed teams. Strong communication skills are essential, so provide examples of how you've effectively communicated complex data concepts.
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 your use of DAX and Power Query.
✨Demonstrate Your Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to troubleshoot and optimise data workflows. Prepare examples of challenges you've encountered in previous roles and how you resolved them, particularly in relation to data quality and governance.
✨Familiarise Yourself with Microsoft Fabric
Since the role requires expertise in Microsoft Fabric, ensure you understand its features, especially OneLake and Lakehouse architecture. Be ready to discuss how you've integrated these into your data solutions and any best practices you've followed.
✨Prepare for Collaborative Discussions
As this position involves working with senior technical stakeholders, practice articulating your ideas clearly and concisely. Be ready to discuss how you approach collaboration in agile environments and how you handle feedback from team members.
