At a Glance
- Tasks: Lead data engineering projects and build scalable ETL pipelines using Python or Java.
- Company: Join Kindred Group plc, a leading tech company in London.
- Benefits: Enjoy a competitive salary and the chance to work with cutting-edge technology.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Proficient in SQL and experienced 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 in London - Kindred Group plc employer: Kindred Group plc
At Kindred Group plc, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Lead Data Engineer in London, you will benefit from competitive compensation, opportunities for professional growth, and the chance to work with cutting-edge technologies in a collaborative environment. Join us to be part of a forward-thinking team that values innovation and creativity, making your contributions truly impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London - Kindred Group plc
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Kindred Group. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, or Java. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data modelling and ETL pipeline skills. Practice common coding challenges and be ready to discuss your thought process when solving problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer in London - Kindred Group plc
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, data modelling, and ETL/ELT pipelines. We want to see how your skills align with the role of Lead Data Engineer, so don’t hold back on showcasing your Python or Java expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Let us know what excites you about working with tools like Airflow or DBT.
Showcase Relevant Projects:If you've worked on any projects that involved structured or semi-structured data, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to building scalable data solutions.
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 share specific examples will show your expertise.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling and working with both structured and semi-structured data. Think of a few scenarios where you’ve successfully designed data models or optimised ETL processes, as this will demonstrate your practical knowledge.
✨Familiarise Yourself with Tools
Since the role involves orchestration and transformation tools like Airflow or DBT, make sure you understand how they work. If you’ve used them before, be ready to explain your experience. If not, do some research and be prepared to discuss how you would approach using these tools.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges or data engineering scenarios that require you to think critically. This will help you demonstrate your analytical skills and ability to tackle real-world problems.
