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- Tasks: Lead the design and delivery of scalable data platforms for AI and analytics.
- Company: Join SMG, a forward-thinking company in the heart of London.
- Benefits: Minimum salary of £70,000, 10% bonus, wellbeing fund, and flexible working.
- Other info: Hybrid role with excellent career growth opportunities.
- Why this job: Shape the future of data integration and governance in a dynamic environment.
- Qualifications: Strong experience in data engineering, SQL, Python, and cloud platforms.
The predicted salary is between 70000 - 70000 £ per year.
Join SMG as a Lead Data Engineer in a hybrid role where you'll lead the design and delivery of scalable data platforms. You will shape data integration and governance strategies essential for AI and analytics.
The position requires:
- Strong experience in data engineering
- Proficiency in SQL and Python
- Previous success in cloud data platforms like Snowflake or Databricks
Enjoy a minimum salary of £70,000 plus a 10% bonus and various employee benefits including a yearly wellbeing fund and a flexible working environment.
Lead Data Engineer — Platform Leader (Hybrid London) employer: SMG
Contact Detail:
SMG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Platform Leader (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to current employees at SMG on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving SQL, Python, and cloud platforms like Snowflake or Databricks. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and data platform knowledge. Use mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the SMG team.
We think you need these skills to ace Lead Data Engineer — Platform Leader (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your previous successes in cloud data platforms like Snowflake or Databricks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead Data Engineer position at SMG. Share specific examples of how you've led projects or shaped data strategies in the past, and let us know how you can contribute to our team.
Showcase Your Leadership Skills: As a Lead Data Engineer, we’re looking for someone who can lead and inspire. In your application, highlight any leadership roles you've had, whether in previous jobs or projects. We want to see how you’ve guided teams and driven successful outcomes.
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at SMG
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in SQL and Python. Be ready to discuss your previous projects and how you've successfully implemented scalable data platforms. This is your chance to show off your expertise!
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud data platforms like Snowflake or Databricks, do some research on these technologies. Be prepared to talk about your experience with them and how you've used them to solve real-world problems.
✨Understand Data Governance and Integration
The job requires shaping data integration and governance strategies, so make sure you can articulate your understanding of these concepts. Think of examples where you've successfully managed data quality and compliance in your past roles.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's data strategy and how they envision the Lead Data Engineer role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.