Aviva Data Engineer interview questions & guide 2026

The questions below represent common themes identified across our candidate experiences. While specific technical challenges may vary by team, these categories highlight the recurring patterns you should prepare for.

Technical Proficiency (SQL & ETL)

Expect a heavy focus on your ability to manipulate data and design efficient pipelines.

• How would you design an ETL pipeline to handle large-scale, incremental data loads?
• Can you explain the difference between various SQL JOIN operations and when to use each?

Success at Aviva requires a balanced approach. You must be technically rigorous while demonstrating that you understand the "why" behind your work.

Technical Competence – Your interviewers will look for deep expertise in SQL and ETL/ELT frameworks. Do not just describe your code; explain the trade-offs you made (e.g., performance vs. maintainability) and why you chose specific tools or patterns.

Problem-Solving Ability – You will often be presented with real-world scenarios. Use the STAR method (Situation, Task, Action, Result) to structure your answers, ensuring you clearly articulate your individual contribution to solving the problem.

Cultural Alignment – Aviva places significant weight on their 4 Cs. Be ready to provide examples that reflect your ability to work collaboratively, take ownership of outcomes, and communicate with transparency and confidence.

The interview process at Aviva is structured to assess both your technical capabilities and your potential to thrive in their collaborative environment. You can expect a multi-stage journey that typically begins with a behavioral assessment or a recruiter screen, followed by deep-dive technical rounds. The pace is generally professional and consistent, with many candidates reporting a clear two-week turnaround time for successful stages.

This timeline illustrates a standard progression from initial screening to technical deep dives. Use this to pace your study—prioritize SQL and Python fundamentals early, and reserve time to practice articulating your past projects through the lens of Aviva's corporate values.

Technical Execution

This area covers your core engineering skills. Interviewers want to see clean, efficient code and a strong grasp of data architecture.

• SQL Mastery – Proficiency in complex joins, window functions, and query optimization.
• Pipeline Design – Ability to architect fault-tolerant data flows.
• Python/Scripting – Writing readable, testable code for automation.

As a Data Engineer, your primary objective is to build and maintain the infrastructure that fuels Aviva’s analytical capabilities. You will work on:

• Designing and implementing ETL/ELT pipelines to ingest data from diverse sources into centralized data warehouses.
• Collaborating with Data Scientists to prepare datasets for model training and deployment.
• Monitoring production systems to ensure data integrity, availability, and performance.
• Partnering with business units to understand their reporting requirements and translating them into technical specifications.

A successful candidate generally demonstrates a blend of strong technical foundations and the soft skills necessary for stakeholder management.

• Must-have skills: Advanced SQL (required for almost all candidates), experience with Python, and a solid understanding of ETL/ELT concepts and data modeling.
• Nice-to-have skills: Experience with cloud platforms (e.g., AWS, Azure, or GCP), familiarity with orchestration tools (like Airflow), and exposure to big data frameworks.
• Experience level: Most candidates possess a track record of delivering data solutions in production environments. Whether you are mid-level or senior, focus on the impact you had on business outcomes.

Q: How difficult is the technical assessment? A: The difficulty is generally moderate. The focus is on practical application—writing working SQL queries and solving straightforward coding problems—rather than complex algorithmic puzzles.

Q: Does Aviva value culture fit as much as technical skill? A: Yes. The 4 Cs (Care, Community, Confidence, Commitment) are central to the interview process. You should be prepared to discuss how you embody these in your professional life.

Q: What is the typical interview duration? A: Technical interviews often last between 45 and 60 minutes, though some rounds may extend to two hours if they include multiple coding or design sections.

Q: How should I prepare for the behavioral questions? A: Prepare 3–5 "story-based" examples from your career that highlight your problem-solving, teamwork, and leadership skills. Ensure these stories are ready to be mapped to the 4 Cs.

• Prepare for the "Why Aviva" question: Research their current initiatives in insurance and digital transformation to show you are genuinely interested in their specific business challenges.
• Practice live coding: Even if you know your languages well, practice writing code while explaining your thought process out loud.
• Ask meaningful questions: Use the end of your interview to ask about the team’s current data stack or how they handle cross-departmental collaboration.
• Be ready for case studies: Sometimes you will be asked to walk through a hypothetical scenario, such as how you would handle a sudden spike in data volume. Focus on logical, step-by-step thinking.

The Data Engineer role at Aviva offers a unique opportunity to apply your technical skills within a large, mission-driven organization. By focusing on your SQL fundamentals, your ability to design resilient pipelines, and your alignment with the company’s core values, you will be well-positioned to succeed.

Preparation is the key to confidence. Review your past projects, refine your communication style, and ensure you can articulate the impact of your work clearly. You have the skills to make a significant contribution; prepare thoroughly, stay focused on the business impact, and approach your interviews as a collaborative conversation. Good luck.