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- Tasks: Manage and develop data solutions using Azure platforms like Databricks and ADF.
- Company: Join a forward-thinking tech company focused on data engineering.
- Benefits: Competitive pay, flexible work options, and opportunities for skill enhancement.
- Why this job: Be at the forefront of data innovation and make a significant impact.
- Qualifications: Strong experience in data engineering and Azure development.
- Other info: Exciting projects with potential for career advancement.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Date de début de la mission : 12-12-2025
Durée de la mission : 90 jours
Date de publication de l'offre : 12-12-2025
Description de l'offre
Objectif de la mission : Recherche d'un ingénieur en ingénierie des données senior avec une solide expérience sur les plateformes Azure (Databricks, ADF, Synapse), Python, SQL et Power BI.
Missions principales
- Gestion de données dans le cadre de projets d'ingénierie des données
- Développement et maintenance de solutions basées sur Azure (Databricks, ADF, Synapse)
- Intégration et gestion de données avec Python, SQL et Power BI
Profil recherché
Expérience solide en ingénierie des données et/ou développement sur Azure
Azure Data Engineer & DevOps Senior employer: Laotop
Contact Detail:
Laotop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer & DevOps Senior
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure and data engineering space. Attend meetups or webinars, and don’t be shy about asking for referrals. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure, Python, SQL, and Power BI. This is your chance to demonstrate your expertise and make a lasting impression. We recommend using platforms like GitHub to share your work.
✨Tip Number 3
Prepare for those interviews! Research common questions for Azure Data Engineers and practice your responses. We suggest doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else. Don’t miss out on your dream job!
We think you need these skills to ace Azure Data Engineer & DevOps Senior
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, SQL, and Power BI. We want to see how your skills match the job description, so don’t be shy about showcasing 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 Engineer & DevOps role. We love seeing your passion for data engineering and how you can contribute to our team.
Showcase Your Projects: If you've worked on any cool data engineering projects, make sure to mention them! We’re interested in real-world applications of your skills, especially those involving Azure platforms like Databricks and ADF.
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 Laotop
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure platforms like Databricks, ADF, and Synapse. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Show Off Your Coding Skills
Since Python and SQL are key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Power BI Proficiency
Familiarise yourself with Power BI and be prepared to discuss how you've used it in past projects. Think about how you can showcase your ability to create insightful dashboards and reports that drive decision-making.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and how they leverage Azure technologies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
