At a Glance
- Tasks: Lead the design of real-time data pipelines and own the data ecosystem.
- Company: Join Plentific, a forward-thinking company in Greater London.
- Benefits: Enjoy a competitive salary and flexible working conditions.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Shape the future of data systems and enable innovative ML features.
- Qualifications: Strong Python and SQL skills with experience in cloud data warehouses.
The predicted salary is between 70000 - 90000 € per year.
Plentific is seeking a Tech Lead - Data Engineering to architect our data platform in Greater London. The role involves taking ownership of the data ecosystem, designing reliable data systems, and collaborating with product teams to enable ML-driven features.
Ideal candidates will have:
- Strong Python and SQL skills
- Experience with cloud data warehouses
- A hands-on approach to build core pipelines
We offer a competitive package and flexible working conditions.
Tech Lead, Data Engineering — Architect Real‑Time Data Pipelines in London employer: Plentific
Plentific is an exceptional employer that fosters a collaborative and innovative work culture, particularly for our Tech Lead - Data Engineering role in Greater London. We prioritise employee growth through continuous learning opportunities and offer a competitive package alongside flexible working conditions, making it an ideal environment for those looking to make a meaningful impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead, Data Engineering — Architect Real‑Time Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and real-time data pipelines. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. Practice explaining your thought process when designing data systems, as this will highlight your expertise.
✨Tip Number 4
Don’t forget to 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 engage directly with us.
We think you need these skills to ace Tech Lead, Data Engineering — Architect Real‑Time Data Pipelines in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you’ve used these tools in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for the Tech Lead role. Mention specific experiences that relate to architecting data platforms and building data pipelines, as this will show us you’re the right fit.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Plentific
✨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, especially in building data pipelines or working with cloud data warehouses.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Plentific is looking for someone who can architect reliable data systems, so think of examples that highlight your hands-on approach and innovative solutions.
✨Understand the Company’s Vision
Do some research on Plentific and their data platform. Familiarise yourself with their products and how they leverage data for ML-driven features. This will help you align your answers with their goals and show that you're genuinely interested in the role.
✨Collaborate and Communicate
Since the role involves working closely with product teams, be prepared to discuss your experience in collaboration. Think of examples where you successfully worked with cross-functional teams and how you communicated complex technical concepts to non-technical stakeholders.
