At a Glance
- Tasks: Lead a team to modernise data platforms and optimise data pipelines.
- Company: Kinetech, a forward-thinking company in Greater London.
- Benefits: Competitive salary up to £75k and hybrid working options.
- Other info: Enjoy a flexible work-life balance with 2-4 days in the office.
- Why this job: Transform data systems and lead a talented team in an innovative environment.
- Qualifications: Strong SQL skills, data architecture experience, and mentoring abilities.
The predicted salary is between 75000 - 75000 € per year.
Kinetech is seeking a Lead Data Engineer in Greater London for a transformational role focusing on modernizing data platforms. This position involves hands-on leadership, overseeing a small team, and optimizing data pipelines within Microsoft Fabric.
Candidates should have:
- Strong SQL expertise
- Proven experience with data architecture
- A background in mentoring engineers
The role offers hybrid working with 2-4 days per month in the office, and a competitive salary of up to £75k.
Lead Data Engineer: Bronze-to-Gold Modernisation (Hybrid) employer: Kinetech
Kinetech is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the data engineering field. With a focus on employee growth, we offer ample opportunities for professional development and mentorship, all while enjoying the flexibility of hybrid working in the vibrant Greater London area. Join us to be part of a forward-thinking team dedicated to transforming data platforms and driving meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer: Bronze-to-Gold Modernisation (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at Kinetech. A personal referral can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your SQL expertise and data architecture experience. When you get the chance to chat with recruiters or during interviews, having tangible examples will set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for data engineers, especially those related to modernising data platforms and optimising data pipelines. The more prepared you are, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application process. Plus, applying directly shows your enthusiasm for the role and gives you a better chance of being noticed.
We think you need these skills to ace Lead Data Engineer: Bronze-to-Gold Modernisation (Hybrid)
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your Leadership Experience:Since this role involves overseeing a small team, share examples of how you've led and mentored engineers before. We love hearing about your hands-on leadership style!
Focus on Data Architecture:Don’t forget to mention your experience with data architecture. We’re looking for someone who can optimise data pipelines, so give us the lowdown on your relevant projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Kinetech
✨Know Your SQL Inside Out
Since the role requires strong SQL expertise, make sure you brush up on your SQL skills. Be prepared to discuss complex queries and data manipulation techniques. Practising common SQL interview questions can really help you stand out.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be overseeing a small team. Be ready to share examples of how you've successfully led projects or mentored other engineers. Highlighting your leadership style and how you foster collaboration will impress the interviewers.
✨Understand Data Architecture
Familiarise yourself with modern data architecture principles, especially in the context of Microsoft Fabric. Be prepared to discuss how you've optimised data pipelines in previous roles and any challenges you've faced in data platform transformations.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Kinetech's data strategy and the team's current projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
