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- Tasks: Build and maintain data pipelines, ensuring data quality and performance.
- Company: Join a market leader investing in cutting-edge technology and data solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Why this job: Play a key role in modernising data platforms and driving analytics across a dynamic business.
- Qualifications: Strong Python and SQL skills, with experience in data migrations and system integration.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a market leader investing heavily in its technology and data landscape and is looking to hire an experienced Python Data Engineer to join a growing, well-funded technology function. This role requires two days onsite.
This is an opportunity for a Python Data Engineer to play a key role in modernising data platforms, building scalable data solutions, and enabling analytics and insight across a complex, multi-site business.
Key responsibilities but not limited to as the Python Data Engineer:
- Build and maintain data pipelines and ETL processes
- Integrating legacy and modern systems
- Deliver data migrations, including mapping, transformation, and validation
- Ensure data quality, performance, and reliability
- Collaborate with technology and business stakeholders
Skills and experience required as the Python Data Engineer:
- Essential to possess strong Python development skills
- Solid SQL experience (e.g. SQL Server, Snowflake or similar)
- Proven experience integrating multiple systems
- Hands-on experience with legacy-to-new data migrations
- Experience working with large datasets, data warehouses, and batch processing
- Experience integrating REST APIs
- Exposure to cloud platforms (Azure or GCP)
This role would suit a Python Data Engineer at heart who enjoys solving complex integration and migration challenges. Comfortable working in a fast-paced, change-driven environment.
Python Data Engineer employer: LTS Resourcing
Contact Detail:
LTS Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, data pipelines, and any cool ETL processes you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled complex integrations or migrations in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our tech-savvy team.
We think you need these skills to ace Python Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development skills and experience with SQL. We want to see how your background aligns with the key responsibilities of the role, so don’t be shy about showcasing 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 opportunity to modernise data platforms and how your experience with data migrations can add value to our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex integration challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
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 this exciting opportunity as a Python Data Engineer!
How to prepare for a job interview at LTS Resourcing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python development, especially in building data pipelines and ETL processes. Practising coding challenges can help you demonstrate your problem-solving abilities.
✨SQL Skills Are Key
Since solid SQL experience is essential for this role, prepare to showcase your knowledge of SQL Server, Snowflake, or similar platforms. You might be asked to write queries or explain how you've used SQL in past projects, so have some examples ready.
✨Showcase Your Integration Experience
Be prepared to discuss your hands-on experience with integrating legacy systems and modern platforms. Think of specific challenges you've faced and how you overcame them. This will show your potential employer that you can handle complex integration tasks.
✨Familiarise Yourself with Cloud Platforms
If you have exposure to cloud platforms like Azure or GCP, make sure to highlight this during your interview. Discuss any relevant projects where you've utilised these technologies, as it will demonstrate your ability to work in a modern tech environment.
