At a Glance
- Tasks: Design and build impactful data models and optimise data pipelines.
- Company: Join i6 Group, a leader in data engineering innovation.
- Benefits: Enjoy 25 days annual leave and private healthcare.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real difference by optimising cloud data performance.
- Qualifications: 3-4+ years in Data Engineering with expert SQL and dbt skills.
The predicted salary is between 50000 - 60000 € per year.
i6 Group is seeking an Analytics Engineer to design, build, and maintain complex data models and high-availability data ingestion pipelines. Key responsibilities include implementing DataOps best practices and optimising cloud data warehouse performance.
The ideal candidate must have:
- 3-4+ years in Data Engineering
- Expert-level SQL skills
- Hands-on experience with dbt
- Familiarity with tools like Airflow and Docker
Benefits include 25 days annual leave and private healthcare.
Analytics Engineer: Build High-Impact Data Models in London employer: i6 Group
i6 Group is an excellent employer that fosters a collaborative and innovative work culture, where Analytics Engineers can thrive while designing impactful data models. With generous benefits such as 25 days of annual leave and private healthcare, along with ample opportunities for professional growth and development, employees are empowered to excel in their roles. Located in a vibrant area, i6 Group offers a unique environment that encourages creativity and teamwork, making it a rewarding place to build a career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer: Build High-Impact Data Models in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at i6 Group on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data models and projects. This is your chance to demonstrate your SQL expertise and dbt experience in action.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on DataOps best practices and cloud data warehouse optimisation. We want to be confident when discussing these topics!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Analytics Engineer: Build High-Impact Data Models in London
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your expert-level SQL skills in your application. We want to see how you've used SQL to solve real-world problems, so don’t hold back on sharing specific examples!
Talk About Your Data Engineering Experience:With 3-4+ years in Data Engineering, we’re keen to hear about your hands-on experience. Share projects where you’ve designed and built data models or worked with data ingestion pipelines – this is your chance to shine!
Mention Your Familiarity with Tools:If you’ve worked with dbt, Airflow, or Docker, make sure to mention it! We love seeing candidates who are familiar with these tools, as they’re key to optimising our cloud data warehouse performance.
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 from us!
How to prepare for a job interview at i6 Group
✨Know Your Data Models
Make sure you brush up on your knowledge of data models before the interview. Be ready to discuss your experience in designing and building complex data models, as well as any specific projects you've worked on that showcase your skills.
✨Showcase Your SQL Expertise
Since expert-level SQL skills are a must, prepare to demonstrate your proficiency. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL challenges and be ready to explain your thought process.
✨Familiarity with Tools is Key
Get comfortable discussing tools like dbt, Airflow, and Docker. Have examples ready of how you've used these tools in past projects, and be prepared to talk about how they can improve DataOps practices and cloud data warehouse performance.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to DataOps and their expectations for the Analytics Engineer role. This shows your genuine interest and helps you assess if it's the right fit for you.
