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For Companies At a Glance
- Tasks: Build and manage strategic data assets using Snowflake and collaborate with data providers.
- Company: Join Aviva, a forward-thinking insurance company committed to your growth.
- Benefits: Competitive salary, generous pension, 29 days holiday, and discounts on Aviva products.
- Why this job: Develop your skills in a dynamic environment while making a real impact.
- Qualifications: Experience in SQL and strong communication skills are essential.
- Other info: Flexible working options and a supportive culture that values diversity.
The predicted salary is between 30000 - 40000 £ per year.
We are recruiting for a Business Intelligence Engineer to join our transforming team. This is a great opportunity for someone who is interested in building out their skills working with large and broad data sets.
Responsibilities
- Collaborate with and build on the work of Quantum Data Engineering to build out a governed, strategic, Claims data asset in Snowflake for use across UKGI Claims BI.
- Develop your skills, working with Snowflake, DBT & Qliksense technologies.
- Work with data source providers to ensure the delivery of timely and accurate data to Claims BI.
Qualifications
- Writes clean, maintainable, and robust code in SQL or similar languages.
- Communication and interpersonal skills, ability to build relationships, internally and externally.
- Experience working with data to deliver business value.
- Willingness to continually learn and develop deeper technical skills.
What you’ll get for this role
- Salary Circa £30,000 - £40,000 for National based (depending on location, skills, experience, and qualifications).
- Bonus opportunity 8% of annual salary - Actual amount depends on your performance and Aviva's.
- Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
- 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days.
- Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts.
- Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme.
- Brilliantly supportive policies including parental and carer’s leave.
- Flexible benefits to suit you, including sustainability options such as cycle to work.
- Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others.
- We take your wellbeing seriously with lots of support and tools.
Note: We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you.
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
To find out more about working at Aviva take a look here. We’d love it if you could submit your application online. If you require an alternative method of applying, please give Harjot Kaur a call on 07353138456 or send an email to harjot.kaur@aviva.com.
Business Intelligence Data Engineer (12 Months FTC) in London employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Data Engineer (12 Months FTC) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Aviva. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Show off your skills! If you've got experience with Snowflake, DBT, or Qliksense, make sure to highlight that in conversations. Share examples of how you've used these tools to deliver business value.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL skills. Be ready to discuss how you write clean and maintainable code. Practice explaining your thought process clearly; communication is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team at Aviva.
We think you need these skills to ace Business Intelligence Data Engineer (12 Months FTC) in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with SQL and any other relevant technologies like Snowflake or DBT. We want to see how your skills can contribute to our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your past experiences and how they relate to the role. We appreciate a well-structured application that’s easy to read!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the specific role of Business Intelligence Data Engineer. Show us why you’re the perfect fit for this position at Aviva.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest 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 Aviva
✨Know Your Tech Stack
Make sure you’re familiar with Snowflake, DBT, and Qliksense technologies. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. This will show that you're not just a fit for the role but also genuinely interested in the tech they use.
✨Showcase Your Data Skills
Prepare examples of how you've worked with large data sets to deliver business value. Think about specific challenges you faced and how you overcame them. This will demonstrate your problem-solving abilities and your understanding of the importance of data in decision-making.
✨Build Relationships
Since communication and interpersonal skills are key, think about how you can demonstrate your ability to build relationships. Prepare anecdotes that highlight your collaboration with data source providers or cross-functional teams. This will help you stand out as a team player.
✨Emphasise Continuous Learning
Express your willingness to learn and develop deeper technical skills. Mention any recent courses or certifications you've completed, or areas you're currently exploring. This shows that you're proactive and committed to growing within the role.
