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- Tasks: Design and implement scalable data-processing pipelines using Azure technologies.
- Company: Leading business in Birmingham with a focus on data-driven culture.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on data solutions that drive business intelligence.
- Qualifications: Proven Data Engineering experience and strong SQL skills required.
- Other info: Work 1-2 days a week in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading business is looking to bring in a Data Engineer to develop, maintain, and operate data-ingestion routines across the estate to create a single, trusted data source that supports a data-driven culture.
Role:
- Design and implement scalable, secure data-processing pipelines using Azure Data Factory, Azure Synapse, and other Azure services.
- Manage and optimise data storage solutions, including Azure Data Lake Storage and Azure SQL Data Warehouse.
- Develop and maintain data models and overall data architecture to enable advanced analytics and business-intelligence reporting.
- Ensure data quality and consistency through robust cleaning, transformation, and integration processes.
- Monitor, diagnose, and resolve data-related issues within the Azure environment to ensure high availability and optimal performance.
Skills / experience:
- Proven Data Engineering experience with proficient SQL skills.
- Experience of designing and implementing data solutions on Azure utilising Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database and Azure Synapse Analytics.
- Experience using Azure Data Lake.
- Experience developing pipelines, analytics platforms and/or data warehouses.
Data Engineer- Azure in Birmingham employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- Azure in Birmingham
✨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 projects, especially those involving Azure Data Factory and Synapse. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, particularly around SQL and Azure services. Practising your answers will help you feel more confident and ready to impress.
✨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 hiring managers who are looking for talent like yours.
We think you need these skills to ace Data Engineer- Azure in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your SQL prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm for data-driven cultures, so share your passion for creating trusted data sources and how you can contribute to our team.
Showcase Relevant Projects: If you've worked on any projects involving Azure Data Factory or data pipelines, make sure to mention them! We’re keen to see real-world examples of your work that demonstrate your ability to design and implement scalable solutions.
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’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Azure Data Factory, Azure Synapse, and Azure Data Lake Storage. Be ready to discuss how you've used these tools in past projects and be prepared to share specific examples of data pipelines you've designed or optimised.
✨Showcase Your SQL Skills
Since SQL is a key part of the role, practice common SQL queries and be ready to demonstrate your proficiency. You might be asked to solve a problem on the spot, so having a few examples of complex queries or data transformations you've implemented can really set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data-related issues. Think about how you would approach diagnosing and resolving data quality problems or optimising data storage solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Your Data-Driven Mindset
The company is looking for someone who supports a data-driven culture, so be sure to highlight your experience with data analytics and business intelligence reporting. Discuss how your work has contributed to better decision-making and how you ensure data consistency and quality in your projects.
