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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, and 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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer — Platform Leader (Hybrid London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data engineering, especially with SQL and Python. We want to see how you've successfully worked with cloud data platforms like Snowflake or Databricks, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Lead Data Engineer role. Use keywords from the job description to show us you understand what we're looking for and how you fit the bill.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and experiences.
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!
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 showcase your expertise!
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud data platforms like Snowflake or Databricks, do some research on these technologies. Prepare to talk about your experience with them and how you've used them to solve real-world problems in data integration and governance.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical scenarios related to data governance and integration strategies. Think through your approach to these challenges beforehand, as it will demonstrate your problem-solving skills and strategic thinking.
✨Show Your Leadership Skills
As a Lead Data Engineer, you'll be expected to lead teams and projects. Be prepared to discuss your leadership style and provide examples of how you've successfully led teams in the past. Highlight your ability to mentor others and drive projects to completion.