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- Tasks: Build scalable data pipelines and deliver analytical solutions using SQL and Python.
- Company: Leading insurance company with a focus on innovation and teamwork.
- Benefits: Competitive salary, bonus opportunities, and flexible working options.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Experience in data management, SQL, Python, and familiarity with Snowflake and DataIku.
- Other info: Exciting career growth opportunities in a collaborative environment.
The predicted salary is between 35000 - 45000 £ per year.
A prominent insurance company is seeking enthusiastic Data Engineers to join their innovative Data Engineering Team. You’ll work across various business lines to deliver analytical solutions using SQL and Python. The ideal candidate will have experience in data management and manipulation, with skills in tools such as Snowflake and DataIku.
This role offers a competitive salary between £35,000 and £45,000, a bonus opportunity, and a comprehensive benefits package, including flexible working options.
Data Engineer: Build Scalable Data Pipelines & Insights in Bristol employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Data Pipelines & Insights in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the technical interview by brushing up on SQL and Python. We recommend doing some mock interviews with friends or using online platforms to practice those tricky questions.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked with tools like Snowflake or DataIku, make sure to highlight these in your discussions. Real-world examples can set us apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing enthusiastic candidates who take that extra step.
We think you need these skills to ace Data Engineer: Build Scalable Data Pipelines & Insights in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and any tools like Snowflake or DataIku. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our innovative team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled data challenges or built scalable solutions. We’re looking for engineers who can think critically and creatively, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Aviva
✨Know Your Tech Stack
Make sure you brush up on SQL and Python, as these are key skills for the role. Familiarise yourself with Snowflake and DataIku too, as being able to discuss your experience with these tools will show you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled data management challenges in the past. Think about the processes you implemented and the impact they had on your previous projects—this will demonstrate your analytical mindset.
✨Understand the Business Context
Research the insurance industry and the company’s business lines. Being able to connect your technical skills to real-world applications in their context will impress the interviewers and show that you’re genuinely interested in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, ongoing projects, or the company’s data strategy. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
