At a Glance
- Tasks: Build and maintain data pipelines for a new reporting solution in a fast-growing ecommerce business.
- Company: Rapidly growing ecommerce company with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a strong emphasis on career development.
- Why this job: Join a dynamic team and make a significant impact on data-driven decision-making.
- Qualifications: Experience with Looker, BigQuery, GCP, and ideally retail data.
This is an opportunity for you to join a rapidly growing ecommerce business who are looking for a Senior Data Engineer to build and maintain data pipelines for a new reporting solution within the business.
You'll be responsible for the build across ingestion, modelling and creating semantic layers using their GCP stack.
Successful applicants will have experience with:
- Looker
- BigQuery
- GCP
- Gemini
Exceptional candidates would have worked with:
- Retail Data
Senior Engineer, Data Engineering employer: TRIA
Join a dynamic and rapidly growing ecommerce business that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Senior Data Engineer, you'll have the opportunity to work with cutting-edge technologies like GCP and Looker, while contributing to impactful projects that drive the company's success. With a strong focus on employee development and a supportive work culture, this role provides a unique chance to grow your skills in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with GCP and Looker. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving BigQuery and data pipelines. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in past roles, particularly around data ingestion and modelling. We want to see your problem-solving skills in action!
✨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 are proactive about their job search!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, Looker, and BigQuery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:As a Senior Data Engineer, we value problem solvers. In your application, share examples of challenges you've faced in data engineering and how you tackled them. This will help us see your thought process!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at TRIA
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, Looker, and BigQuery. Brush up on your knowledge of data ingestion, modelling, and semantic layers. Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar but experienced.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially related to data engineering. Think about how you approached these problems and the solutions you implemented. This will demonstrate your critical thinking and adaptability, which are key for a Senior Data Engineer.
✨Understand the Business Context
Since this role is within an ecommerce business, it’s beneficial to understand retail data and how it impacts decision-making. Research the company’s market position and think about how your work can contribute to their growth. This shows you’re not just a techie but also a strategic thinker.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team, the projects you'll be working on, and the company culture. This not only shows your interest but also helps you gauge if the company is the right fit for you.
