Data Engineer (Snowflake & AWS) in London

Data Engineer (Snowflake & AWS) in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a dynamic team to build and manage data pipelines using Snowflake and AWS.
  • Company: Leading UK banking client with a focus on innovation and collaboration.
  • Benefits: Competitive pay, flexible working options, and a chance to enhance your skills.
  • Other info: 6-month contract with potential for growth in a fast-paced environment.
  • Why this job: Make an impact in the banking sector while working with cutting-edge technology.
  • Qualifications: Experience with Snowflake, Agile methodology, and familiarity with GIT.

The predicted salary is between 36000 - 60000 £ per year.

Our UK leading banking client are looking for a Data Engineer to join their team on an initial 6-month contract.

Key Skills:

  • Snowflake
  • Agile methodology and working within small multiskilled feature teams
  • Comfortable with GIT and version control
  • Knowledge of older coding standards and practices
  • AWS
  • Airflow, Python nice to have

If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV.

Data Engineer (Snowflake & AWS) in London employer: Lorien

Join a leading banking client in London or Edinburgh, where innovation meets collaboration. Our work culture fosters agility and teamwork, providing you with the opportunity to grow your skills in a dynamic environment while contributing to impactful projects. With a focus on employee development and a commitment to excellence, this role offers a rewarding experience for those looking to advance their careers in data engineering.

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Contact Details:

Lorien Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer (Snowflake & AWS) in London

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Research common questions for Data Engineers and practice your answers. We recommend using the STAR method to structure your responses – it’ll help you shine!

Tip Number 3

Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your Snowflake and AWS expertise, make sure to share it during interviews. It’s a great way to demonstrate what you can bring to the table.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Data Engineer (Snowflake & AWS) in London

Snowflake
AWS
Airflow
Python
Agile Methodology
GIT
Version Control

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Snowflake and AWS. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or roles you've had.

Showcase Your Agile Experience:Since the role involves working in Agile teams, it’s a good idea to mention any experience you have with Agile methodologies. We love seeing candidates who can thrive in dynamic environments!

Highlight Version Control Skills:Being comfortable with GIT and version control is key for this position. Make sure to include any specific examples of how you've used these tools in your previous work.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your CV and ensure it gets into the right hands quickly!

How to prepare for a job interview at Lorien

Know Your Tech Inside Out

Make sure you brush up on your Snowflake and AWS knowledge. Be ready to discuss how you've used these technologies in past projects, and don't shy away from sharing specific examples of challenges you've faced and how you overcame them.

Showcase Your Agile Experience

Since the role involves working within small, multiskilled feature teams, be prepared to talk about your experience with Agile methodologies. Share instances where you've successfully collaborated with team members and adapted to changing requirements.

Demonstrate Version Control Proficiency

Familiarity with GIT and version control is key for this position. Be ready to explain your workflow and how you manage code changes. If you have any tips or best practices, share those too—they'll show your depth of understanding.

Prepare for Technical Questions

Expect some technical questions related to Python and Airflow, even if they're not the primary focus. Brush up on your coding standards and practices, and be ready to solve problems on the spot. Practising common coding challenges can really help!