Data Engineer Interview Experience - London, United Kingdom
Process
Initial Screening: A preliminary call with the recruiter to discuss my background and interest in the role.
Technical Discussion: A second-stage interview with a Senior Data Engineer to assess technical knowledge and experience.
Competency Assessment: Completion of a structured SQL test to evaluate problem-solving and technical proficiency.
Final Panel Interview: A comprehensive panel interview focusing on both technical and competency-based questions.
Questions
They asked me to complete a SQL test, which was quite challenging as it required the use of multiple joins, window functions, and advanced querying techniques.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Databricks Data Engineer role in London, United Kingdom.
Success Rate
Databricks's interview process for their Data Engineer roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Databricks's Data Engineer interview process in London, United Kingdom.
Databricks Work Experiences
- 3.0OkayData Engineer • Current EmployeeMountain View, CAOctober 28, 2025Pros: Good benefits, office, food, and location.Cons: Work life balance, management, teams aren't the best.
- 4.0Excellent learning culture; some process frictionData Engineer • Current EmployeeLondon, EnglandSeptember 20, 2025Pros: Strong mentorship and many opportunities to learn new data tools and ML workflows. Collaborative team atmosphere with regular knowledge-sharing sessions. Competitive salary and comprehensive benefits package. Flexible work-from-home policy and supportive manager.Cons: Rapid product changes sometimes cause shifting priorities and workload spikes. Onboarding documentation could be more complete for new hires.
- 3.0Work life balance is goodData Engineer • Current EmployeeMumbaiDecember 15, 2024Pros: work life balance is goodCons: not a high learning curve
Databricks Interview Questions
