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- Tasks: Create custom Python and data solutions for exciting clients.
- Company: Leading data consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid work model, healthcare cover, and fun social events.
- Why this job: Combine your passion for data with global travel opportunities.
- Qualifications: 2+ years in software development, strong Python skills, and SQL experience.
- Other info: Join a collaborative team dedicated to innovative data solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading data consultancy in Greater London is looking for a Data Engineer to develop tailored Python and Data Engineering solutions for clients. The ideal candidate will have at least 2 years of experience in software development, strong skills in Python, and experience with SQL and PostgreSQL.
This position offers a hybrid work model along with opportunities for international travel, healthcare cover, and regular social events. Join a team dedicated to innovative data solutions and collaboration.
Hybrid Python Engineer: Data Solutions + Global Travel employer: Data Intellect
Contact Detail:
Data Intellect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Python Engineer: Data Solutions + Global Travel
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a great position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data solutions. 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 your technical skills. Practice common data engineering questions and be ready to discuss your experience with SQL and PostgreSQL. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Hybrid Python Engineer: Data Solutions + Global Travel
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, so don’t hold back on the details!
SQL and PostgreSQL are Key: Since this role involves data engineering, be sure to mention your experience with SQL and PostgreSQL. We love seeing specific examples of how you've worked with these technologies.
Tailor Your Application: Take a moment to customise your application for this role. We appreciate when candidates connect their skills and experiences directly to what we’re looking for in a Data Engineer.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and makes sure your application gets the attention it deserves!
How to prepare for a job interview at Data Intellect
✨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 technical prowess.
✨SQL and PostgreSQL Proficiency
Since the role requires experience with SQL and PostgreSQL, be prepared to answer questions related to database management and data manipulation. Consider reviewing common SQL queries and database design principles to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Data engineering is all about finding solutions. Think of specific examples where you've tackled complex data issues or optimised processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Embrace the Hybrid Work Model
As this position offers a hybrid work model, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Highlight any previous experiences that demonstrate your adaptability and collaboration skills in diverse environments.
