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- Tasks: Design and deliver data solutions using Databricks and Microsoft Azure.
- Company: Leading data consultancy with a diverse portfolio and collaborative culture.
- Benefits: Competitive salary, hybrid working, and extensive learning opportunities.
- Why this job: Join a growing team and make an impact in the data engineering field.
- Qualifications: Experience in data engineering, SQL, Python, and Big Data technologies.
- Other info: Great support from a dynamic team and opportunities for career advancement.
The predicted salary is between 42500 - 59500 £ per year.
🧱 Databricks Data Engineer | London | £50,000 – £70,000 🧱
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.
We are looking for:
- 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
- Great communication skills, effectively participating with Senior Stakeholders
Nice to haves:
- Azure/AWS Data Engineering certifications
- Databricks certifications
What\’s in it for you:
📍Location: London (Hybrid)
💻Remote working: Occasional office visits each month
💰Salary: £50,000-£70,000 DOE
🤝Collaborative culture and great team support
📈Vast L&D opportunities both internally and externally
Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 data engineering projects, especially those involving Databricks and Azure. 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 your SQL and Python skills. Be ready to discuss your experience with Big Data technologies like Apache Spark or PySpark. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering skills, especially in Databricks and Microsoft Azure. We want to see how your experience aligns with the role, 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 passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: When applying, be sure to mention your proficiency in SQL, Python, and any Big Data technologies like Apache Spark or PySpark. We love seeing specific examples of how you've used these skills in past projects.
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 Peaple Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, SQL, and Python skills. Be ready to discuss specific projects where you've used these technologies. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to design and deliver effective data solutions, especially in Microsoft Azure.
✨Communicate Like a Pro
Since great communication is key, practice explaining complex technical concepts in simple terms. Think about how you would present your work to senior stakeholders who may not have a technical background.
✨Get Familiar with the Company Culture
Research the consultancy's values and recent projects. Understanding their collaborative culture will help you align your answers with what they’re looking for, showing that you’re a great fit for their team.
