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- Tasks: Build and maintain data pipelines using Python and AWS services.
- Company: Join a tech-driven organisation focused on innovation.
- Benefits: Competitive salary up to £80K, hybrid work, and great benefits.
- Why this job: Make an impact by designing cloud-based data platforms for analytics.
- Qualifications: 5+ years as a Data Engineer with strong Python and AWS skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
We’re working with a tech-driven organisation looking to hire an experienced Data Engineer to help design and scale cloud-based data platforms that power analytics and reporting across the business.
The Role
- Build and maintain robust data pipelines for collecting data into various data stores
- Develop clean, scalable solutions using Python
- Work extensively with AWS data services - candidates must have strong AWS Glue experience.
- Partner with analysts, engineers and stakeholders
Data Engineer Requirements:
- Strong commercial experience as a Data Engineer (5+ years)
- Strong experience with Python
- Solid hands-on AWS experience - Experience with AWS Glue and Lambdas will be key.
- Comfortable working in agile delivery teams
Data Engineer | AWS, Python in London employer: Wilson Brown
Contact Detail:
Wilson Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | AWS, Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Python. 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 projects, especially those involving data pipelines and AWS Glue. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and AWS knowledge, and be ready to discuss your past projects. Practising common data engineering problems can help you feel more confident when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer | AWS, Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, Python, and AWS. 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. Keep it concise but impactful!
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 AWS Glue or Python. It gives us a taste of what you can bring to the table.
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 Wilson Brown
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS Glue and Python. Brush up on your knowledge of data pipelines and how they function within cloud environments. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles as a Data Engineer. Think about how you’ve built or maintained data pipelines and be ready to explain your thought process. This will demonstrate your ability to tackle real-world problems and work effectively with teams.
✨Understand Agile Methodologies
Since the role involves working in agile delivery teams, it’s crucial to understand agile principles. Be prepared to talk about your experience in agile environments and how you’ve collaborated with analysts and engineers to deliver projects successfully.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you’ll be working on, or how success is measured in the role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
