At a Glance
- Tasks: Design and develop data pipelines using Azure Data Factory and manage ETL/ELT workflows.
- Company: Join a globally leading tech client in Gateshead, England.
- Benefits: Competitive pay and quick interview process.
- Other info: Ideal for mid to senior-level professionals seeking career growth in a fast-paced environment.
- Why this job: Make an impact with cutting-edge Azure technologies and enhance your data engineering skills.
- Qualifications: Strong expertise in Azure Data Factory, SQL, and Python programming required.
The predicted salary is between 50000 - 65000 £ per year.
For one of our globally leading tech clients we are urgently looking for an experienced Azure Data Technical Specialist for a long contract based in Gateshead, England, United Kingdom. Its paying well and my client can interview asap!
Key Responsibilities
- Design and develop data pipelines using Azure Data Factory (ADF).
- Build and manage ETL/ELT workflows for data movement across multiple systems.
- Utilize Azure Databricks for data engineering, transformation, and analytics.
- Write and optimize SQL queries for data extraction, manipulation, and reporting.
- Develop and maintain Python scripts for automation and data processing.
- Collaborate with business and technical stakeholders to gather and implement data requirements.
- Monitor, troubleshoot, and optimize data pipeline performance.
- Ensure data quality, accuracy, and reliability.
- Stay current with Azure data platform innovations and best practices.
Required Skills
- Strong expertise in Azure Data Factory (ADF).
- Hands-on experience with Azure Databricks.
- Advanced SQL development and query optimization skills.
- Proficiency in Python programming.
- Experience with Oracle PL/SQL.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Ability to manage multiple priorities in a fast-paced environment.
Preferred Certifications
- Microsoft Azure Data certifications.
- Azure Data Factory certification.
- Azure Databricks certification.
- SQL certification.
- Python certification.
Experience Level
- Mid to Senior-level Azure Data Engineering professional.
- Experience designing enterprise-scale data integration and transformation solutions.
Key Technologies
- Azure Data Factory (ADF)
- Azure Databricks
- SQL
- Oracle PL/SQL
- Python
- Azure Data Platform
- ETL / ELT Development
- Data Engineering
- Data Warehousing
- Cloud Analytics
If this is you, then please do not delay in applying!
Azure Data Technical Specialist employer: US3 Consulting
Join a globally leading tech company in Gateshead as an Azure Data Technical Specialist, where you will thrive in a dynamic work culture that prioritises innovation and collaboration. With competitive pay and opportunities for professional growth, you will be part of a team that values your expertise in data engineering while providing access to the latest technologies and best practices in the Azure data platform. This role not only offers meaningful work but also a chance to make a significant impact within a supportive environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Technical Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Data Factory and Databricks. 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 technical questions related to SQL, Python, and data pipelines. 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 waiting for talented Azure Data Technical Specialists like you. It’s quick and easy, so get your application in today!
We think you need these skills to ace Azure Data Technical Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory, Databricks, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
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 Technical Specialist role. Share specific examples of your past work that align with the responsibilities listed in the job description.
Show Off Your Certifications:If you've got any Microsoft Azure Data certifications or related qualifications, make sure they’re front and centre in your application. We love seeing candidates who are committed to their professional development!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the quickest way for us to get your application and start the conversation. Don’t miss out on this opportunity!
How to prepare for a job interview at US3 Consulting
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure Data Factory and Azure Databricks. Be ready to discuss specific projects where you've designed data pipelines or optimised ETL workflows. The more detailed examples you can provide, the better!
✨SQL Skills on Point
Prepare to showcase your SQL prowess. Practice writing and optimising queries, as you might be asked to solve a problem on the spot. Having a few examples of complex queries you've worked on will definitely impress your interviewers.
✨Python Proficiency
Since Python is key for automation and data processing, be ready to talk about your experience with it. Bring along some snippets of code you've written or discuss how you've used Python in previous roles to solve data challenges.
✨Communication is Key
As collaboration with stakeholders is crucial, practice articulating your thought process clearly. Think about how you've gathered requirements in the past and be prepared to explain how you ensure data quality and reliability in your work.
