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- Tasks: Develop high-quality Python applications and design ETL pipelines for a core internal system.
- Company: Dynamic financial services organisation with a focus on innovation.
- Benefits: 25 days holiday, pension contributions, and ongoing professional development.
- Why this job: Join a hands-on role and make an impact in a growing tech environment.
- Qualifications: Substantial Python experience and familiarity with cloud-native principles.
- Other info: Exciting opportunity for career growth in a collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
A financial services organisation is seeking a Data Engineer to manage a core internal system in Bristol. This hands-on role involves developing high-quality Python applications, designing ETL pipelines, and ensuring scalable, production-ready services using AWS. Candidates should have substantial Python experience and familiarity with cloud-native principles.
Benefits include:
- 25 days holiday
- Pension contributions
- Continual professional development
Bristol Hybrid Data Engineer | Python, AWS & ETL employer: Method Resourcing
Contact Detail:
Method Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bristol Hybrid Data Engineer | Python, AWS & ETL
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local 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
Show off your skills! Create a portfolio showcasing your Python projects and ETL pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your AWS knowledge and be ready to discuss how you've tackled challenges in previous roles. Practice common data engineering questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role, and applying directly can sometimes give you an edge. Plus, we love seeing familiar faces!
We think you need these skills to ace Bristol Hybrid Data Engineer | Python, AWS & ETL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your ETL pipeline designs and AWS knowledge!
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 you can contribute to our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in Python and AWS, include them! We appreciate hands-on experience, so sharing links to your GitHub or any live applications can really make your application stand out.
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. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Method Resourcing
✨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 real-world problems. Practising coding challenges can also help you demonstrate your proficiency.
✨ETL Pipeline Mastery
Since this role involves designing ETL pipelines, be prepared to explain your approach to data extraction, transformation, and loading. Think of specific examples where you've built or optimised ETL processes, and be ready to discuss the tools and techniques you used.
✨AWS Knowledge is Key
Familiarity with AWS is crucial for this position. Brush up on the services relevant to data engineering, like S3, Lambda, and Redshift. Be ready to talk about how you've leveraged these services in previous roles to build scalable solutions.
✨Show Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising systems. Prepare to discuss challenges you've faced in your previous roles and how you approached solving them. This will showcase your analytical thinking and adaptability, which are vital for the job.