At a Glance
- Tasks: Design and build AWS data pipelines and develop API integrations.
- Company: Join a forward-thinking recruitment firm in the heart of London.
- Benefits: Immediate interview process and hands-on experience in a dynamic role.
- Other info: Onsite work 4-5 days a week for a collaborative experience.
- Why this job: Make an impact in utilities and sustainability while enhancing your AWS skills.
- Qualifications: Strong AWS data engineering, Python, and SQL skills required.
The predicted salary is between 50000 - 70000 € per year.
GCS Recruitment is seeking an experienced AWS Data Engineer for a 12-month contract in London. This hands-on role involves designing and building AWS-based data pipelines, developing API integrations, and supporting analytics dashboards.
Candidates should have:
- Strong AWS data engineering experience
- Advanced skills in Python and SQL
- A background in utilities or sustainability
The position requires onsite work 4-5 days per week and includes an immediate interview process.
AWS Data Engineer - 12-Month Contract, London employer: GCS Recruitment
At GCS Recruitment, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our London-based team enjoys a dynamic environment with ample opportunities for professional growth, competitive benefits, and the chance to work on impactful projects in the utilities and sustainability sectors. Join us to be part of a forward-thinking company that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - 12-Month Contract, London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AWS and data engineering space. Let them know you're on the lookout for opportunities, and who knows? They might just have a lead or two that could land you that sweet contract.
✨Tip Number 2
Get your hands dirty with some practical projects. Build a mini data pipeline using AWS services and showcase it on GitHub. This not only sharpens your skills but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews by brushing up on your Python and SQL skills. Practice common data engineering scenarios and be ready to demonstrate how you would tackle real-world problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let's get you that AWS Data Engineer gig!
We think you need these skills to ace AWS Data Engineer - 12-Month Contract, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS data engineering experience and showcases your skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about mentioning relevant projects or achievements!
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 experience in utilities or sustainability makes you a great fit for us. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any cool data pipelines or API integrations, make sure to mention them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at GCS Recruitment
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services like S3, Redshift, and Lambda, and how you've used them in past projects. This will show that you're not just familiar with AWS but can also apply it effectively.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your coding skills in Python and SQL. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks. Having examples of your previous work where you’ve used these languages will really help you stand out.
✨Understand the Utilities and Sustainability Sector
Since this role is related to utilities and sustainability, do some research on current trends and challenges in this field. Being able to discuss how data engineering can impact sustainability initiatives will show your genuine interest and understanding of the industry.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about the team, projects, and company culture. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
