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- Tasks: Lead the creation of a modern AWS data platform and develop robust ETL pipelines.
- Company: Join Bis Henderson Recruitment, a leader in supply chain and logistics recruitment.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by transforming raw data into valuable insights for businesses.
- Qualifications: Experience in Python, SQL, and building production data platforms on AWS.
- Other info: Dynamic role with a focus on innovation and career advancement.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a hands-on Data Engineer to lead the build of a modern AWS-based data platform, taking ownership from core infrastructure through to curated, business-ready datasets.
- Design, build, and operate a scalable AWS data platform, including storage, compute, security, and monitoring.
- Develop robust, idempotent ETL pipelines across diverse data sources (APIs, databases, files, and event streams).
- Implement medallion architecture (bronze, silver, gold) to transform raw data into high-quality, analytics-ready datasets.
- Own data modelling, master data management, and aggregation layers to support reporting, analytics, and ML use cases.
- Proven experience building and running production data platforms on AWS end-to-end, ideally in a multi-site business environment.
- Strong proficiency in Python and SQL, with hands-on experience in Spark/PySpark and modern table formats.
- Expertise in AWS data services.
Data Engineer - Python, SQL employer: Bis Henderson
Contact Detail:
Bis Henderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python, SQL
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building ETL pipelines or working with medallion architecture – it’ll show you know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer - Python, SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and SQL. We want to see how you've built data platforms and ETL pipelines, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how your skills align with our needs. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on any projects that involved data modelling or medallion architecture, make sure to mention them. We love seeing real-world applications of your skills!
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’s super easy!
How to prepare for a job interview at Bis Henderson
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS services. Brush up on your knowledge of Spark/PySpark and modern table formats. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Understand ETL Processes
Be prepared to talk about your experience with building robust ETL pipelines. Think of specific examples where you've worked with diverse data sources like APIs, databases, and event streams. This will demonstrate your ability to handle the complexities of data engineering.
✨Familiarise Yourself with Medallion Architecture
Since the role involves implementing medallion architecture, make sure you can explain how you would transform raw data into high-quality datasets. Have a few examples ready that showcase your understanding of the bronze, silver, and gold layers.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising data platforms. Be ready to share instances where you’ve solved complex problems or improved existing processes. This will highlight your analytical skills and your proactive approach to challenges.