At a Glance
- Tasks: Build scalable cloud data platforms and solve complex data challenges.
- Company: Rapidly growing consultancy in Greater London with a delivery-focused team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on diverse clients while tackling exciting data challenges.
- Qualifications: Strong Python and SQL skills, plus experience with Spark, Airflow, and Kafka.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A rapidly scaling consultancy in Greater London is seeking a skilled data engineer to join their delivery-focused team. The candidate will work on building robust, scalable data platforms using strong Python and SQL skills, along with hands-on experience in Spark, Airflow, and Kafka. This role offers an excellent opportunity to tackle complex data challenges and impact various clients positively in a fast-paced setting.
Senior Data Engineer: Build Scalable Cloud Data Platforms employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Cloud Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and any cool data platforms you've built. We want to see your hands-on experience with Spark, Airflow, and Kafka in action!
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you’ve tackled complex data challenges in the past. We’re here to help you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: Build Scalable Cloud Data Platforms
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, especially if you've worked with Spark, Airflow, or Kafka.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Engineer role. We love seeing how your experience aligns with our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences at a glance.
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 without any hiccups!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Spark, Airflow, and Kafka. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. Real-world examples will show your expertise and help you stand out.
✨Showcase Problem-Solving Skills
Prepare to discuss specific data challenges you've faced and how you tackled them. Think about complex scenarios where you had to build scalable solutions. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Consultancy Landscape
Research the consultancy’s clients and the types of projects they handle. Being able to speak about how your skills can directly benefit their clients will show that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project methodologies, and future challenges the company anticipates. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.