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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: Flexible remote work with occasional 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
Senior Engineer, Data Engineering in London employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or in similar roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, Python, and Big Data technologies. 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 past projects and how you've used Databricks, Azure, or AWS to solve real-world problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities tailored for talented engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and any relevant data engineering projects. We want to see how your skills align with the job description, so don’t be shy about showcasing your SQL, Python, and Big Data expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your work in data engineering and how you've used Azure or AWS to deliver successful projects. Keep it engaging and personal!
Show Off Your Certifications: If you’ve got any Azure or AWS Data Engineering certifications, make sure they’re front and centre in your application. We love seeing candidates who are committed to their professional development and can bring that knowledge to our team.
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks skills and be ready to discuss your experience with SQL, Python, and Big Data technologies like Apache Spark or PySpark. Prepare to share specific examples of projects where you've successfully implemented these technologies.
✨Showcase Your Problem-Solving Skills
Data engineering is all about solving complex problems. Be prepared to walk through your thought process on how you've tackled challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Familiarise Yourself with Azure and AWS
Since the role requires experience in Microsoft Azure or AWS, make sure you understand the key features and services offered by both platforms. Highlight any relevant certifications you have, as this will demonstrate your commitment and expertise in data engineering.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and upcoming projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.