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- Tasks: Transform high-quality datasets into reliable pipelines using Python and SQL.
- Company: Leading analytics firm in Greater London with a focus on data quality.
- Benefits: Competitive salary of £70,000 to £85,000 and opportunities for professional growth.
- Why this job: Make a real impact by solving data challenges and mentoring within a collaborative team.
- Qualifications: Experience in Python, SQL, and cloud-based solutions is essential.
- Other info: Hybrid role offering a dynamic work environment and meaningful projects.
The predicted salary is between 70000 - 85000 £ per year.
A leading analytics firm in Greater London is seeking a Senior Data Engineer who excels in Python and SQL to transform high-quality datasets into reliable pipelines. This hybrid role emphasizes data quality and mentorship within the engineering team, addressing real-world data challenges.
The ideal candidate should have experience with cloud-based solutions and a collaborative mindset. With competitive remuneration of £70,000 to £85,000, this opportunity allows for significant professional growth and contribution to meaningful projects.
Senior Data Engineer (Python & SQL) - Hybrid London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Python & SQL) - Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for the interview! Brush up on common data engineering challenges and be ready to discuss how you’ve tackled similar issues in the past. Don’t forget to highlight your mentorship experience too!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you’re genuinely interested in joining our team. Let’s get you that Senior Data Engineer position!
We think you need these skills to ace Senior Data Engineer (Python & SQL) - Hybrid London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've transformed datasets into reliable pipelines, so share specific examples that showcase your expertise!
Emphasise Collaboration: Since this role is all about teamwork, let us know how you've worked with others in the past. Mention any mentorship experiences or collaborative projects that demonstrate your ability to thrive in a team environment.
Cloud Experience Matters: If you've got experience with cloud-based solutions, don't hold back! We’re keen to hear about the tools and platforms you’ve used, as this will be crucial for tackling real-world data challenges.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can explain complex concepts in a simple way.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world data challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, so you can clearly demonstrate your thought process and impact.
✨Emphasise Collaboration and Mentorship
Since this role involves mentoring within the team, be ready to share examples of how you've supported colleagues in the past. Highlight your collaborative mindset and how you approach teamwork, as this will resonate well with the interviewers.
✨Research the Company and Its Projects
Take some time to understand the analytics firm’s mission and recent projects. This will not only help you tailor your answers but also show your genuine interest in the role and how you can contribute to their goals.
