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- Tasks: Design and implement operational and analytical data warehouses using Python and PostgreSQL.
- Company: Join a fast-growing medtech scale-up with a global customer base.
- Benefits: Enjoy a competitive salary of £50-75k plus benefits and hybrid work options.
- Why this job: Be at the forefront of innovative healthcare solutions while working with top-tier clients.
- Qualifications: 3+ years of hands-on experience in Python, SQL, and data engineering required.
- Other info: Work one day a week in a central London office and collaborate with a dynamic team.
The predicted salary is between 40000 - 60000 £ per year.
Data Engineer – in-depth Python, PostgreSQL, AWS, Snowflake Hybrid – a day each week in central London office £50-75k + benefits The Data Engineer will be core to the design and implementation of a new operational data warehouse and a new analytical data warehouse from scratch. The current tech stack is Python, PostgreSQL on RDS, Airflow and Snowflake. This is NOT a role where youll be just configuring data tooling its hardcore Python and SQL coding! The company is a medtech scale-up (launched in 2016) with a rapidly growing customer base across the UK, Europe, US and Australia, working with prestigious healthcare clients. The role: Helping to rebuild reporting interfaces across the product and the analytics warehouse. You will be core to creating the infrastructure for this effort as well Working with the backend team to assist with data optimisation, real-time data queries, and other infrastructure projects Proactively analysing and improving the quality of the systems: including performance, scalability, maintainability, test coverage and documentation You will need: 3+ years of hands-on experience with Python. Python is the core competency hence its crucial for you to be intimately familiar with collaborative Python develop…
Data Engineer Python PostgreSQL AWS employer: Richard Wheeler Associates Careers
Contact Detail:
Richard Wheeler Associates Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Python PostgreSQL AWS
✨Tip Number 1
Make sure to showcase your hands-on experience with Python in your conversations. Since this role emphasizes hardcore coding, be prepared to discuss specific projects where you've implemented complex Python solutions.
✨Tip Number 2
Familiarize yourself with the tech stack mentioned in the job description, especially PostgreSQL and AWS. Being able to speak confidently about how you've used these technologies in past projects will set you apart.
✨Tip Number 3
Highlight any experience you have with data warehousing and analytics. Since you'll be involved in building reporting interfaces and analytical warehouses, demonstrating your understanding of these concepts will be beneficial.
✨Tip Number 4
Prepare to discuss your approach to optimizing data systems. The role requires proactive analysis and improvement of system quality, so think of examples where you've successfully enhanced performance or scalability.
We think you need these skills to ace Data Engineer Python PostgreSQL AWS
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience with Python, PostgreSQL, and AWS in your CV and cover letter. Provide specific examples of projects where you utilized these technologies, especially in a data engineering context.
Showcase Problem-Solving Skills: In your application, illustrate how you've tackled complex data challenges in the past. Mention any instances where you improved system performance or scalability, as this aligns with the role's requirements.
Tailor Your Application: Customize your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Use keywords from the listing, such as 'data warehouse', 'real-time data queries', and 'test coverage' to make your application stand out.
Express Enthusiasm for Medtech: Convey your passion for the medtech industry in your application. Mention any relevant experience or interest in healthcare technology, as this will resonate with the company's mission and values.
How to prepare for a job interview at Richard Wheeler Associates Careers
✨Showcase Your Python Expertise
Since Python is the core competency for this role, be prepared to discuss your hands-on experience in detail. Bring examples of projects where you've implemented complex Python solutions, and be ready to solve coding challenges during the interview.
✨Demonstrate SQL Proficiency
As PostgreSQL is a key part of the tech stack, ensure you can discuss your experience with SQL queries, database design, and optimization techniques. You might be asked to write queries on the spot, so practice common SQL problems beforehand.
✨Understand the Tech Stack
Familiarize yourself with the entire tech stack mentioned in the job description, including AWS, Snowflake, and Airflow. Be ready to explain how you've used these technologies in past projects and how they can benefit the company's data infrastructure.
✨Prepare for System Design Questions
Given that you'll be involved in designing operational and analytical data warehouses, expect questions about system architecture and data flow. Think through how you would approach building these systems from scratch and be ready to discuss your thought process.
