At a Glance
- Tasks: Build ETL pipelines and optimise SQL queries using Python and AWS.
- Company: Maxwell Bond, a dynamic tech company in Manchester.
- Benefits: Immediate start, on-site work 2 days a week, and collaborative team environment.
- Other info: 6-month contract with potential for future opportunities.
- Why this job: Dive into complex datasets and enhance your coding skills with real-world projects.
- Qualifications: 3+ years of Python experience, strong AWS skills, and SQL proficiency.
The predicted salary is between 40000 - 50000 £ per year.
Maxwell Bond is seeking 2 Python Developers for a 6-month contract in Manchester. Candidates should have over 3 years of Python experience, strong AWS skills, and SQL proficiency.
Responsibilities include:
- Building ETL pipelines
- Writing scalable code
- Optimizing SQL queries
The role offers immediate starts, and candidates are expected to work on-site 2 days a week. This is an exciting opportunity to work on complex datasets and collaborate with a dynamic team.
Python Data Engineer (ETL, AWS, SQL) – 6mo Contract employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer (ETL, AWS, SQL) – 6mo Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python, AWS, or SQL. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially any ETL pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview! Brush up on common Python, AWS, and SQL questions. Practising coding challenges can also help you feel more confident when it comes to demonstrating your skills.
✨Tip Number 4
Apply through our website! We make it super easy to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Python Data Engineer (ETL, AWS, SQL) – 6mo Contract
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used Python in real projects, especially when it comes to building ETL pipelines and writing scalable code.
AWS and SQL Are Key: Don’t forget to mention your AWS skills and SQL proficiency! We’re looking for candidates who can optimise SQL queries and leverage AWS effectively, so give us the details on your experience with these technologies.
Tailor Your Application: Take a moment to tailor your application to this specific role. We love seeing candidates who understand what we do and how they can contribute, so make sure your application reflects that enthusiasm!
Apply Through Our Website: We encourage you to apply 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 Maxwell Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve problems, especially in building ETL pipelines. Practising coding challenges can also help you demonstrate your proficiency.
✨Show Off Your AWS Expertise
Since strong AWS skills are a must, be prepared to talk about your experience with AWS services. Think of specific examples where you've used AWS to optimise data processing or storage. If you can, mention any relevant certifications or projects that highlight your capabilities.
✨SQL is Key – Get Ready to Query
Brush up on your SQL skills and be ready to tackle some queries during the interview. You might be asked to optimise SQL queries or explain your approach to handling complex datasets. Practising common SQL problems will give you an edge.
✨Be Ready for Team Collaboration Questions
This role involves working with a dynamic team, so expect questions about collaboration and communication. Think of examples where you've successfully worked in a team setting, particularly in data engineering projects. Highlight your ability to share knowledge and support your teammates.