At a Glance
- Tasks: Lead the design and implementation of scalable ETL pipelines using Airflow and Big Data technologies.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy a competitive salary and the chance to work on exciting projects.
- Other info: Great opportunity for career growth in a collaborative team.
- Why this job: Make a real impact by leading data engineering initiatives in a dynamic environment.
- Qualifications: Proficient in SQL, Python or Java, with experience in data modelling and ETL processes.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, United Kingdom
Posted: 10 months ago
Tech Stack:
- Airflow
- SQL
- Data Modeling
- Python
- ETL
- Java
Skills and Experience:
- Proficient in SQL, data modelling, and working with structured and semi‑structured data at scale.
- Strong programming skills in Python or Java, with experience building scalable ETL/ELT pipelines.
- Familiarity with orchestration and transformation tools such as Airflow or DBT.
Compensation: Competitive
Role Type: Full time
Visa sponsorship: Not provided
Lead Data Engineer - ETL, Airflow & Big Data employer: Kindred Group plc
As a Lead Data Engineer in London, you will join a dynamic and innovative team that values collaboration and creativity. Our company offers competitive compensation, a supportive work culture that encourages professional growth, and opportunities to work with cutting-edge technologies in the heart of one of the world's leading tech hubs. We are committed to fostering an environment where your skills can flourish, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - ETL, Airflow & Big Data
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines or any projects using Airflow and Python. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your SQL and data modelling skills, and be ready to discuss how you’ve tackled challenges in building scalable systems. We’re here to help you feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Let’s get your application in and take that next step towards becoming a Lead Data Engineer!
We think you need these skills to ace Lead Data Engineer - ETL, Airflow & Big Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, data modelling, and ETL pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your Python or Java expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects involving Airflow or big data, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
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 Lead Data Engineer position. Plus, it’s super easy!
How to prepare for a job interview at Kindred Group plc
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your SQL, Python, and Java skills, and be ready to discuss how you've used these technologies in past projects. Being able to talk confidently about ETL processes and data modelling will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to building scalable ETL/ELT pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, and highlight how you approached problems using Airflow or other orchestration tools.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data architecture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or use online platforms to practice common interview questions for data engineering roles. Focus on articulating your experience clearly and concisely, especially when discussing technical concepts. The more comfortable you are, the better you'll perform!
