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- Tasks: Build scalable data pipelines and optimise processes using Python and SQL.
- Company: Customer experience platform in Greater London with a supportive work culture.
- Benefits: Global benefits including parental leave, medical benefits, and a collaborative environment.
- Other info: Opportunity to work on AI-driven projects and grow your career.
- Why this job: Join a team enhancing data capabilities and mentor the next generation of engineers.
- Qualifications: Experience in data engineering and strong skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
A customer experience platform in Greater London is seeking a Senior Data Engineer to enhance their data capabilities. The ideal candidate will work on building scalable data pipelines and optimize processes using Python and SQL.
Responsibilities include:
- Collaborating with data science teams
- Mentoring junior engineers
- Achieving best practices in data governance
Offer includes a supportive work culture and various global benefits, including parental leave and medical benefits.
Senior Data Engineer: Build AI-Driven, Scalable Pipelines employer: dotdigital
Contact Detail:
dotdigital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build AI-Driven, Scalable Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data pipelines or AI-driven solutions. This gives potential employers a taste of what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've optimised processes in the past and how you can contribute to their data governance practices. Practice makes perfect!
✨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 that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Build AI-Driven, Scalable Pipelines
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with Python and SQL. We want to see how you've built scalable data pipelines in the past, so don’t hold back on those details!
Collaborate Like a Pro: Since you'll be working closely with data science teams, mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results, so share those stories!
Mentorship Matters: If you've had experience mentoring junior engineers, let us know! We value a supportive work culture, and showing that you can guide others will definitely catch our eye.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at dotdigital
✨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 built scalable data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since you'll be working closely with data science teams, prepare examples of how you've successfully collaborated in the past. Highlight any mentoring experiences with junior engineers, as this will demonstrate your leadership potential.
✨Understand Data Governance Best Practices
Familiarise yourself with data governance principles and be prepared to discuss how you've implemented best practices in previous roles. This shows that you not only know how to build pipelines but also how to maintain data integrity.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and culture. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Think about asking how they support continuous learning and development.