Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimize data pipelines using Azure, Databricks, and Microsoft Fabric.
- Company: Join a forward-thinking company leveraging cutting-edge cloud technologies.
- Benefits: Enjoy a permanent role with opportunities for growth and innovation.
- Why this job: Be part of a dynamic team driving data-driven decisions in a fast-paced environment.
- Qualifications: 3+ years in data engineering with expertise in Azure and Databricks required.
- Other info: Open to candidates in London, Birmingham, Manchester, or Newcastle.
The predicted salary is between 48000 - 84000 £ per year.
Job Title: Data Engineer (Azure, Databricks, and Microsoft Fabric)
Location: London ideally but open to Birmingham, Manchester or Newcastle
Duration: Perm
Overview:
We are looking for a highly skilled Data Engineer with expertise in Azure, Databricks, and Microsoft Fabric to design, build, and optimize data pipelines and infrastructure. This permanent role involves working with cutting-edge cloud technologies, enabling scalable and efficient data processing, analytics, and business intelligence solutions.
Key Responsibilities:
- Design, develop, and maintain end-to-end data pipelines using Azure Data Services, Databricks, and Microsoft Fabric .
- Implement Lakehouse architecture using Databricks Delta Lake and Microsoft OneLake .
- Develop and optimize ETL/ELT workflows using Azure Data Factory, Databricks, and Fabric Dataflows .
- Work with Azure Synapse Analytics and Fabric Data Warehouses for large-scale data processing.
- Ensure data quality, security, and governance across cloud platforms.
- Develop and manage real-time and batch data processing using Apache Spark and Databricks workflows .
- Collaborate with data analysts, scientists, and business teams to enable data-driven decision-making.
- Automate data pipelines using Python, SQL, and Spark for efficiency and scalability.
- Monitor and troubleshoot data performance issues , ensuring high availability.
- Stay updated with the latest advancements in Azure, Databricks, and Microsoft Fabric technologies.
Required Skills & Qualifications:
- 3+ years of experience in data engineering with Azure and Databricks .
- Expertise in Azure Data Services (Azure Data Lake, Azure Synapse, Azure SQL).
- Hands-on experience with Databricks (Delta Lake, Spark, MLflow, Notebooks, Workflows) .
- Strong knowledge of Microsoft Fabric (OneLake, Data Factory, Synapse, Power BI).
- Proficiency in SQL, Python, PySpark, or Scala for data transformation and automation.
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.
- Stakeholder Management
Priyanka Sharma
Senior Delivery Consultant
Office: 02033759240
Email:
Data Engineer- Perm employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- Perm
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure and Databricks in your conversations. Highlight specific projects where you've designed and optimized data pipelines, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with Lakehouse architecture and be ready to discuss how you've implemented it in past roles. This knowledge will demonstrate your alignment with the company's focus on cutting-edge cloud technologies.
✨Tip Number 3
Prepare to talk about your experience with real-time and batch data processing using Apache Spark. Being able to share specific examples of how you've tackled performance issues will show your problem-solving skills.
✨Tip Number 4
Engage with the latest advancements in Azure, Databricks, and Microsoft Fabric. Showing that you're proactive about staying updated will impress the interviewers and reflect your commitment to continuous learning.
We think you need these skills to ace Data Engineer- Perm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Microsoft Fabric. Include specific projects where you've designed and optimized data pipelines, as well as any relevant certifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's needs. Mention your experience with ETL/ELT workflows and real-time data processing to demonstrate your fit for the role.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and Spark in your application. Provide examples of how you've used these technologies to solve problems or improve processes in previous roles.
Highlight Collaboration Experience: Since the role involves working with data analysts and business teams, emphasize your experience in collaborative environments. Share examples of how you've contributed to data-driven decision-making in past projects.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Databricks, and Microsoft Fabric in detail. Highlight specific projects where you designed and optimized data pipelines, and be ready to explain the technologies you used and the challenges you faced.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of how you've tackled data performance issues or optimized ETL/ELT workflows. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Business Context
Research the company and its data-driven initiatives. Be ready to discuss how your role as a Data Engineer can contribute to their business goals. This shows that you are not just technically proficient but also understand the bigger picture.
✨Prepare for Collaboration Questions
Since collaboration with data analysts, scientists, and business teams is key, think of examples where you've successfully worked in a team setting. Highlight your communication skills and how you ensure alignment with stakeholders.
