Endava Data Engineer interview questions & guide 2026

Interview questions at Endava are designed to test both your technical depth and your ability to function within a collaborative, project-based environment. While specific questions depend on your seniority and the specific client program, the following patterns consistently emerge.

Technical & Domain Knowledge

These questions evaluate your proficiency in core data engineering concepts, including database administration, SQL, and pipeline architecture.

• How would you approach building an ETL pipeline using cloud-native resources like AWS?
• Can you explain your process for designing a data system that meets specific client requirements?

Preparation for Endava requires a balance of technical rigor and the ability to articulate your thought process. You should be prepared to discuss your past projects in detail, explaining not just what you did, but why you made those specific technical decisions.

Technical Proficiency – You must have a strong command of SQL, data modeling, and cloud architecture. Interviewers will look for your ability to justify your choice of tools and demonstrate a deep understanding of how data flows through a system.

Collaborative Problem-Solving – Because Endava often utilizes group assessments, your ability to work within a team is just as important as your individual technical skill. You will be evaluated on how you contribute to group discussions, listen to others, and help drive a team toward a unified solution.

Communication & Clarity – You should be able to translate complex technical concepts into clear, professional language. Practice explaining your past experiences and design choices to ensure you can communicate effectively with both technical leads and project managers.

The Endava interview process is designed to be comprehensive and balanced, focusing on both your hard skills and your potential to grow within their collaborative culture. For many roles, especially those within talent programs like Dava.X, you should expect a multi-stage process that moves from initial assessment to group-based problem solving.

The process typically prioritizes practical application over theoretical memorization. You will likely encounter an online assessment covering data pipelines and logic, followed by interactive sessions that simulate the real-world project environment. Expect a professional, welcoming, and transparent experience where the interviewers are genuinely interested in your potential and personality.

The timeline above illustrates the progression from initial screening to final assessment, highlighting the transition from individual technical evaluation to team-based collaboration. Candidates should view the group assessment as an opportunity to showcase leadership and communication skills, rather than just technical output. Use the early stages to solidify your understanding of your own project history, as this will be the foundation for your more technical discussions.

Technical & Architectural Design

This area evaluates your capability to build scalable systems. Strong candidates demonstrate a deep understanding of the trade-offs between different cloud services and database technologies.

Be ready to go over:

• Pipeline Architecture – Understanding how to move and transform data efficiently.
• Cloud Infrastructure – Familiarity with AWS, Azure, or GCP services relevant to data engineering.

As a Data Engineer, your primary responsibility is to bridge the gap between raw data and business value. You will be expected to design and implement end-to-end data pipelines that are secure, scalable, and maintainable. You will often collaborate with software developers, data scientists, and product owners to ensure that the data infrastructure aligns with the needs of the client’s product.

You will likely be involved in the full development lifecycle, from initial requirement gathering and system architecture to deployment and monitoring. Because Endava works across diverse industries, you may find yourself moving between different technology stacks depending on the project requirements. Being adaptable and willing to learn new tools on the fly is a core expectation of the role.

A strong candidate for Data Engineer at Endava combines technical depth with a proactive, team-oriented mindset.

• Must-have skills: Proficient in SQL and data modeling, experience with at least one major cloud provider (AWS, Azure, or GCP), and a solid understanding of ETL/ELT processes.
• Soft skills: Excellent communication, a collaborative attitude, and the ability to work effectively in a fast-paced, multi-disciplinary team.
• Nice-to-have skills: Experience with Big Data technologies (like Spark or Kafka), familiarity with CI/CD pipelines for data, and experience working in an Agile/Scrum environment.

Q: How long does the entire interview process typically take? The process varies depending on the region and the specific program, but it generally spans from a few weeks to a month. You will typically have a few meetings, including HR, technical, and managerial interviews.

Q: What is the most important thing to demonstrate during the group assessment? The interviewers are looking for your ability to contribute constructively to a team. Be proactive, listen to others, and focus on collaborative problem-solving rather than dominating the conversation.

Q: Is the technical interview focused on theory or practice? The technical component is heavily focused on practical application. You will be expected to discuss your past projects and explain your design choices in real-world scenarios.

Q: How should I prepare for the "superpower" or unconventional questions? These questions are meant to assess your personality and how you handle unexpected situations. There is no "right" answer; simply be authentic, positive, and professional.

• Own your project history: Be prepared to explain the technical challenges you faced in previous roles and the specific steps you took to overcome them.
• Understand the "Why": Don't just list the technologies you used; explain why they were the right choice for the specific business problem you were solving.
• Prepare for the group dynamic: If your interview process includes a group assessment, practice explaining your ideas clearly and inviting feedback from others.
• Be punctual and professional: Endava values a professional, respectful atmosphere; your conduct during the interview is as important as your technical answers.

The Data Engineer position at Endava offers a unique opportunity to work on varied, challenging projects that push your technical capabilities. By mastering both your architectural design skills and your ability to work collaboratively in a team, you will position yourself as a strong, highly qualified candidate. Remember that the interviewers are looking for a long-term partner who can grow alongside the company.

You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your strategy. With thorough preparation and a focus on demonstrating your collaborative problem-solving skills, you are well-equipped to succeed in your Endava interview.

The salary data above provides an overview of the compensation landscape for this role. Use this to set realistic expectations regarding the total package, which may include base salary, performance bonuses, and other professional benefits typical of a global consultancy.