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- Tasks: Lead the design of innovative data systems and own the technical direction.
- Company: A top proptech firm in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible work, private healthcare, and enhanced parental leave.
- Why this job: Shape the future of data engineering in a dynamic and impactful role.
- Qualifications: Strong Python skills, experience in systems architecture, and machine learning knowledge.
- Other info: Join a forward-thinking team with great career advancement opportunities.
The predicted salary is between 60000 - 80000 £ per year.
A leading proptech firm in the UK is seeking a Tech Lead - Data Engineering to architect and own their data platform. This role requires a strong background in Python, systems architecture, and machine learning systems.
Responsibilities include:
- Leading the design of distributed data systems
- Ensuring integration and reliability
- Owning the technical direction for data
The position offers competitive compensation, flexible working conditions, and various perks such as private healthcare and enhanced parental leave.
Tech Lead: Data Engineering for Real-Time Platform employer: Plentific
Contact Detail:
Plentific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead: Data Engineering for Real-Time Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those in 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 machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data systems and be ready to discuss your past experiences leading projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes speed up the process. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Tech Lead: Data Engineering for Real-Time Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, systems architecture, and machine learning in your application. We want to see how your background aligns with the role of Tech Lead - Data Engineering.
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 how they relate to our needs.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Tech Lead position. We love seeing candidates who take the extra step.
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 in our data engineering team!
How to prepare for a job interview at Plentific
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of systems architecture. Be ready to discuss your experience with machine learning systems, as this will likely come up during the interview.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've successfully led the design of distributed data systems and ensured their integration and reliability.
✨Understand the Company’s Vision
Research the proptech firm and its data platform. Knowing their goals and challenges will help you align your answers with their needs and show that you're genuinely interested in the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy, team dynamics, and how they envision the Tech Lead role evolving. This shows your enthusiasm and helps you gauge if it's the right fit for you.