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- Tasks: Design and build cloud-based data pipelines using Python and SQL.
- Company: Leading AI SaaS company in London with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
- Why this job: Join a dynamic team and make an impact in the AI industry.
- Qualifications: Strong experience in production environments and familiarity with Azure or AWS.
- Other info: Mentor junior engineers and thrive in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI SaaS company in London is seeking a Senior Data Engineer to design and build cloud-based data pipelines. You will work with Python and SQL for transforming large datasets, ensuring data quality, and mentoring junior engineers.
The ideal candidate has strong experience in production environments and familiarity with platforms like Azure and AWS. This role offers a collaborative environment with opportunities for professional growth, and requires the right to work in the UK.
Senior Data Engineer (Python & SQL) — Hybrid London in City of London employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Python & SQL) — Hybrid London in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data engineering. 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 projects, especially those involving Python and SQL. This is your chance to demonstrate your expertise in building data pipelines and transforming datasets—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about scenarios where you've ensured data quality or mentored others. We want you to be ready to impress with real-life examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer (Python & SQL) — Hybrid London in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, especially in production environments. We want to see how you've designed and built data pipelines before, so don’t hold back on those details!
Showcase Your Projects: Include specific examples of projects where you’ve transformed large datasets or ensured data quality. We love seeing real-world applications of your skills, so share what you’ve done with Azure or AWS too!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your experience aligns with our needs. A personal touch goes a long way in making your application stand out.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Datatech
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with cloud-based data pipelines and how you've tackled challenges in production environments. They’ll want to see that you can not only code but also understand the architecture behind it.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior engineers, think of examples where you've guided others. Prepare to share specific instances where your mentorship made a difference, whether it was through code reviews or helping someone overcome a technical hurdle.
✨Familiarity with Cloud Platforms
Get comfortable discussing your experience with Azure and AWS. Be prepared to explain how you've used these platforms in your previous roles, particularly in relation to data engineering tasks. Highlight any projects where you’ve implemented solutions using these technologies.
✨Emphasise Collaboration
This position is all about teamwork, so be ready to talk about how you’ve worked in collaborative environments. Share stories that demonstrate your ability to communicate effectively with cross-functional teams and how you’ve contributed to a positive team dynamic.
