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- Tasks: Design and deliver innovative data solutions using Databricks and Big Data technologies.
- Company: Leading data consultancy with a diverse portfolio and exciting growth plans.
- Benefits: Competitive salary, hybrid working, and opportunities for professional development.
- Why this job: Join a dynamic team and work on impactful projects in the data engineering field.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Azure or AWS.
- Other info: Enjoy occasional remote work with flexible office visits in London.
The predicted salary is between 42000 - 84000 £ per year.
Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects.
Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks.
- Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure or AWS
- Strong experience designing and delivering data solutions in Databricks
- Proficient with SQL and Python
- Experience using Big Data technologies such as Apache Spark or PySpark
- Azure/AWS Data Engineering certifications
Location: London (Hybrid)
Remote working: Occasional office visits each month
Ingegnere dei dati (f/m) employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, SQL, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and Python. 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 passionate about data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve Azure or AWS.
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 us!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, SQL, and Python. Brush up on your knowledge of Big Data technologies like Apache Spark or PySpark. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Certifications
If you have Azure or AWS Data Engineering certifications, flaunt them! Be prepared to explain how your certification has helped you in real-world scenarios. This shows that you not only have theoretical knowledge but practical skills as well.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve data engineering problems on the spot. Practice explaining your thought process clearly and logically. This will demonstrate your problem-solving skills and ability to think critically under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s data strategy or upcoming projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.