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- Tasks: Join our Data Engineering Team to transform raw data into impactful business insights.
- Company: Be part of Aviva, a leader in the life insurance industry with a focus on innovation.
- Benefits: Enjoy a competitive salary, bonus opportunities, generous pension, and 29 days holiday.
- Why this job: Shape the future of data solutions while working with cutting-edge technologies.
- Qualifications: Experience in SQL, Python, and data engineering tools like Snowflake and dbt.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 55000 - 65000 £ per year.
Are you someone who would like to be part of our high-profile Data Engineering Team? We are seeking an enthusiastic Data Engineer Specialist to be part of our innovative team which helps shape the future of the life insurance business at Aviva. You'll work and guide the work of a team of data engineers using languages of SQL and some Python in market leading tools like Snowflake and dbt (as well as SQL Server) to transform raw data from multiple systems into business focused information.
A bit about the job: We work across all business lines, delivering data analytics solutions for protection, healthcare, wealth, COO and retirement.
We are looking to find candidates who can:
- Lead the design and delivery of scalable data products, translating complex business problems into robust data solutions and owning core data pipelines and platform reliability.
- Work closely with data scientists to provide high-quality, well-modelled data that enables advanced analytics and data science use cases.
- Communicate effectively with non-technical stakeholders, clearly explaining data solutions, progress, risks, and issues across project and BAU work.
- Ensure strong data governance and engineering standards, producing clear high- and low-level designs, maintaining documentation, and ensuring data is used appropriately and securely.
- Provide technical leadership and mentorship to data engineers through coaching, code and design reviews, and collaboration across engineering, and wider business teams to embed best practices.
Skills and experience we're looking for:
- Proven experience designing, developing, and optimizing data solutions in Snowflake and ability to build and maintain modular, testable, and well-documented transformations using dbt.
- Hands-on experience creating robust data pipelines and data products for analytics. Familiarity with tools like DataIku or Informatica is advantageous.
- Knowledge of CI/CD processes and in particular tools like ADO (Azure Dev Ops) would be very beneficial as this will be key to our delivery and deployment processes.
- Understanding of data modelling techniques particularly those suited to analytical data (Data Vault and Dimensional Modelling).
- Familiarity with healthcare or insurance data domains is a plus, as you'll be working on critical data products that support healthcare initiatives.
What you'll get for this role:
- Salary £55,000 - £65,000 (depending on location, skills, experience, and qualifications)
- Bonus opportunity 10% 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
Data Engineer Specialist in Norwich employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Specialist in Norwich
✨Tip Number 1
Network like a pro! Reach out to current employees at Aviva or in the data engineering field on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using SQL, Python, Snowflake, or dbt. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data solutions in simple terms, as you'll need to engage with non-technical stakeholders.
✨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, it shows you’re serious about joining our innovative team.
We think you need these skills to ace Data Engineer Specialist in Norwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer Specialist role. Highlight your experience with SQL, Python, and tools like Snowflake and dbt. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising data solutions, we love to see real-world examples of your work and how they relate to our needs.
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 Aviva
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, Python, Snowflake, and dbt. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific examples where you've translated complex business problems into data solutions. Highlight your experience in designing scalable data products and how you ensured platform reliability.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. Think of examples where you've successfully communicated project progress or risks to a non-technical audience.
✨Demonstrate Leadership and Mentorship
Be ready to share your experiences in leading teams or mentoring junior data engineers. Discuss how you've contributed to best practices in data governance and engineering standards, and how you approach code reviews and collaboration.