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- Tasks: Design and develop Azure-native data pipelines and scalable data models.
- Company: Join a leading firm driving a large-scale data transformation programme.
- Benefits: Competitive daily rate, hybrid work, and hands-on experience with cutting-edge technology.
- Why this job: Make a real impact by shaping the future of cloud data platforms.
- Qualifications: Strong Azure Data Services experience and excellent SQL skills required.
- Other info: Opportunity to work in a dynamic environment with career growth potential.
A large‑scale data transformation programme is underway, and our client is looking for an experienced Azure Data Engineer to support the rebuild of their cloud data platform. This role is hands‑on and delivery‑focused — you’ll be designing and developing Azure‑native data pipelines, working extensively with Databricks, and shaping scalable data models across the Microsoft ecosystem. The role would require you to be on site in Bristol 3 days per week.
What you’ll be doing:
- Build, enhance and maintain data pipelines using Azure Databricks, Data Factory, and Delta Lake
- Develop and optimise Lakehouse components and cloud‑based data flows
- Create robust data models to support analytics, MI and downstream reporting
- Assist in migrating legacy warehouse assets into a modern Azure environment
- Contribute to cloud architecture decisions, data standards and best‑practice engineering patterns
What you’ll bring:
- Strong hands‑on experience across Azure Data Services (ADF, ADLS, Synapse, Databricks)
- Excellent SQL skills, with experience in performance tuning and optimisation
- Solid understanding of data modelling (star schema, medallion, ETL frameworks)
- Ability to work with complex, inconsistent or legacy data sources
- Experience building scalable, production‑ready pipelines in a cloud environment
Azure Data Engineer in Bristol employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, especially those involving Databricks and data pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss how you've tackled complex data challenges in the past — real-world examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Azure Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Services and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Azure Data Engineer role. We love seeing enthusiasm and a clear understanding of the job requirements, so let your personality come through.
Showcase Your Technical Skills: When filling out your application, make sure to mention specific tools and technologies you’ve worked with, like Databricks and Data Factory. We’re looking for hands-on experience, so give us the details that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Services knowledge, especially ADF, ADLS, Synapse, and Databricks. Be ready to discuss specific projects where you've built or optimised data pipelines, as this will show your hands-on experience.
✨SQL Skills on Point
Prepare to showcase your SQL skills, particularly in performance tuning and optimisation. You might be asked to solve a problem on the spot, so practice writing queries that demonstrate your ability to work with complex data sets.
✨Data Modelling Mastery
Familiarise yourself with different data modelling techniques like star schema and medallion. Be prepared to explain how you've applied these concepts in past projects, especially in relation to ETL frameworks.
✨Show Your Problem-Solving Skills
Expect questions about how you've handled inconsistent or legacy data sources. Think of examples where you've successfully migrated data or contributed to cloud architecture decisions, as this will highlight your problem-solving abilities.
