At a Glance
- Tasks: Enhance and maintain e-Receipts data pipeline using Golang, Kubernetes, and BigQuery.
- Company: Gener8, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make an impact on data-driven business decisions.
- Qualifications: 5+ years of experience with large datasets and strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Gener8 is seeking an experienced backend or data engineer to enhance and maintain their e-Receipts data pipeline. You'll be collaborating closely with the product and engineering teams, leveraging technologies like Golang, Kubernetes, and BigQuery to support business decisions and data transformations.
Ideal candidates have 5+ years of experience with large datasets and are proficient in SQL, with knowledge of DBT and Airflow being a plus. Strong English communication skills are essential.
Senior Backend Engineer — Data Pipelines & BigQuery employer: Gener8
Gener8 is an exceptional employer that fosters a collaborative and innovative work culture, where experienced professionals can thrive while working on cutting-edge technologies like Golang, Kubernetes, and BigQuery. With a strong emphasis on employee growth and development, Gener8 offers ample opportunities for skill enhancement and career progression, making it an ideal place for those looking to make a meaningful impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer — Data Pipelines & BigQuery
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Gener8 or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Golang, Kubernetes, and BigQuery. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and data pipeline knowledge. Be ready to discuss how you've tackled large datasets in the past and how you can contribute to enhancing Gener8's e-Receipts data pipeline.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Backend Engineer — Data Pipelines & BigQuery
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with large datasets and technologies like Golang, Kubernetes, and BigQuery. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've worked on data pipelines or used SQL. This helps us understand your hands-on experience and how you tackle real-world challenges.
Communicate Clearly:Since strong English communication skills are essential, ensure your application is clear and concise. We appreciate straightforward language that gets to the point without fluff!
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 role!
How to prepare for a job interview at Gener8
✨Know Your Tech Stack
Make sure you’re well-versed in Golang, Kubernetes, and BigQuery. Brush up on your SQL 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 and confidence.
✨Showcase Your Data Pipeline Experience
Prepare to talk about your experience with data pipelines, especially in relation to e-Receipts or similar projects. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and adaptability.
✨Communicate Clearly
Since strong English communication skills are essential, practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also show that you can collaborate effectively with product and engineering teams.
✨Familiarise Yourself with DBT and Airflow
Even if you’re not an expert in DBT and Airflow, having a basic understanding of these tools can set you apart. Do some research and be prepared to discuss how they fit into the data pipeline process, as this shows your willingness to learn and adapt.
