Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our IT team as a Senior Data Engineer, building and managing Azure data pipelines.
- Company: We're a dynamic company based in Burton-on-Trent, focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge team, mentor others, and work with the latest Azure technologies.
- Qualifications: Strong experience in Azure Data Pipeline development and proficiency in Python, SQL, and cloud technologies.
- Other info: Refer a friend and earn £250 worth of vouchers if they get hired!
The predicted salary is between 48000 - 52000 £ per year.
This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements.
Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position.
Key Skills & Responsibilities:
- Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform.
- Optimisation of ETL processes for performance and cost-efficiency.
- Design scalable data models aligned with business needs.
- Azure data solutions for efficient data storage and retrieval.
- Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls.
- Work with cross-functional teams and mentor junior engineers.
- Manage and tune Azure SQL Database instances.
- Proactively monitor pipelines and infrastructure for performance and reliability.
- Maintain technical documentation and lead knowledge-sharing initiatives.
- Deploy advanced analytics and machine learning solutions using Azure.
- Stay current with Azure technologies and identify areas for enhancement.
- Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs.
- Strong knowledge of Python, Scala, C#, .NET.
- Experience with advanced SQL, T-SQL, relational databases.
- Azure DevOps, Terraform, BICEP, ARM templates.
- Distributed computing, cloud-native design patterns.
- Data modelling, metadata management, data quality, data as a product.
- Strong communication, empathy, determination, openness to innovation.
- Strong Microsoft Office 365 experience.
Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Senior Data Engineer - Azure Data - Burton - Permanent employer: Crimson
Contact Detail:
Crimson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure Data - Burton - Permanent
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Databricks, as these are crucial for the role. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure. Attend meetups or webinars to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and how you've optimised them in past roles. Be ready to share specific examples of how you've improved performance and cost-efficiency in your projects.
✨Tip Number 4
Stay updated on the latest Azure technologies and best practices. Follow relevant blogs, join forums, and participate in online courses to ensure you can speak knowledgeably about advancements during interviews.
We think you need these skills to ace Senior Data Engineer - Azure Data - Burton - Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Pipeline development, ETL processes, and any relevant cloud technologies. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention your experience with Azure tools like Data Factory and Databricks, and how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on projects involving Azure SQL Database, CI/CD, or machine learning solutions, include these in your application. Briefly describe your role and the impact of your work to illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Crimson
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure Data Factory, Databricks, and other relevant Azure technologies. Be prepared to discuss specific projects where you've built and managed data pipelines, as this will demonstrate your hands-on skills.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've optimised ETL processes for performance and cost-efficiency in previous roles. This will show the interviewer that you can think critically and find solutions that align with business needs.
✨Emphasise Team Collaboration
Since the role involves working with cross-functional teams, be ready to share experiences where you've successfully collaborated with others. Highlight any mentoring you've done, as this shows leadership potential and a willingness to support junior engineers.
✨Stay Current with Industry Trends
Research the latest trends in Azure technologies and be prepared to discuss how they could enhance the company's data platforms. Showing that you're proactive about staying updated will impress the interviewers and demonstrate your commitment to continuous learning.
