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- Tasks: Enhance data infrastructure and build robust data pipelines on Azure.
- Company: Local authority in Greater London focused on impactful data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team driving AI initiatives and make a real difference with data.
- Qualifications: Experience in data engineering, ETL/ELT, Python, and SQL required.
- Other info: Collaborative environment with a focus on innovation and analytics.
The predicted salary is between 36000 - 60000 £ per year.
A local authority in Greater London is seeking a Data Engineer to enhance its data infrastructure and analytics capabilities. This role involves developing Azure Data Platform, building robust data pipelines, and collaborating with data scientists on AI initiatives.
The ideal candidate has hands-on experience with data engineering tools and practices, particularly in ETL/ELT, and proficiency in Python and SQL.
This hybrid position offers a chance to contribute to impactful data solutions.
Data Engineer: Azure Data Platform & Analytics employer: Barnet Council
Contact Detail:
Barnet Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Azure Data Platform & Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Platform and Python. 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 your ETL/ELT processes and SQL queries. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Data Engineer: Azure Data Platform & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Platform and any relevant data engineering tools. We want to see how your skills align with the role, so don’t be shy about showcasing your ETL/ELT expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm for AI initiatives and collaboration with data scientists.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and SQL. We’re looking for hands-on experience, so include specific projects or examples where you’ve used these skills to solve real-world problems.
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 out on any important updates from our team!
How to prepare for a job interview at Barnet Council
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of the Azure Data Platform. Familiarise yourself with its features and how they can enhance data infrastructure. Be ready to discuss specific projects where you've used Azure tools, as this will show your hands-on experience.
✨Show Off Your ETL/ELT Skills
Prepare to talk about your experience with ETL and ELT processes. Have examples ready that demonstrate how you've built robust data pipelines. This is crucial for the role, so make sure you can explain your approach and any challenges you faced.
✨Python and SQL Proficiency
Since proficiency in Python and SQL is key, be prepared to answer technical questions or even solve problems on the spot. Brush up on common libraries and frameworks in Python that are relevant to data engineering, and be ready to write some SQL queries during the interview.
✨Collaboration is Key
This role involves working closely with data scientists, so highlight your teamwork skills. Share examples of past collaborations, especially those involving AI initiatives. Emphasising your ability to communicate effectively with different teams will set you apart.