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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 potential for career advancement in a fast-paced environment.
The predicted salary is between 50000 - 65000 £ 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 - SQL& Python employer: Bis Henderson
Contact Detail:
Bis Henderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SQL& Python
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and SQL. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer - SQL& Python
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 your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer role and how your background makes you the perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any cool data platforms or ETL pipelines, make sure to mention them! We love seeing real-world examples of your work that demonstrate your hands-on experience.
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 the technologies mentioned in the job description, especially AWS, SQL, and Python. Brush up on your knowledge of ETL processes and medallion architecture, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or managed data platforms. Highlight your experience with AWS and any challenges you faced while developing ETL pipelines. Real-world examples will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the company and its industry. Understand how data engineering supports their business goals. This will help you tailor your answers and show that you’re not just a techie but also someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the data platform, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.