Shell plc Data Engineer Interview Guide

The Shell plc data engineer loop, round by round: what each stage tests, example questions with the guidance interviewers actually score, the mistakes that sink strong candidates, and how to prepare.

Last updated: July 31, 2026Proudly published by: Jeff Wahl

What the Shell plc loop tests: domains and difficulty

Our prediction of the question mix by domain and difficulty for this company's data engineer loop, from live listings and interview reports.

By domain

SQL

33%

Python

67%

By difficulty

Easy

42%

Medium

42%

Hard

17%

The domain and difficulty mix we predict for a Shell plc data engineer loop, across 12 problems. It updates as more Shell plc data lands.

Updated Jul 31, 202612 predicted Shell plc problems

2 real Shell plc interview questions

Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.

SQLL4 · 2025

Difference between Having and Where clause

Phone screen · screen sql

PythonL4 · 2024

Explain oops concepts clearly with examples.

Behavioral

How candidates rate the Shell plc loop

How hard candidates rated the loop and how they felt, summarized across the reports below.

How hard candidates rated it

Easy

Medium

83%

Hard

17%

6 rated reports

How candidates felt

Positive

83%

Neutral

17%

Negative

6 rated Shell plc reports

Try a Shell plc-style SQL round

Find every user active on 3 or more CONSECUTIVE days. This gaps-and-islands shape shows up in nearly every DE SQL round. Edit the query and run it against the seed data.

	/* Users active on 3+ consecutive days. */
	/* Hint: date minus a per-user ROW_NUMBER is constant within a streak. */
	WITH streaks AS (
	SELECT
	user_id,
	activity_date,
	activity_date - CAST(
	(ROW_NUMBER() OVER (
	PARTITION BY user_id
	ORDER BY activity_date
	))
	AS INT
	) AS grp
	FROM user_sessions
	)

	SELECT
	user_id
	FROM streaks
	GROUP BY user_id, grp
	HAVING COUNT(*) >= 3

Practice the Shell plc loop

The problems our model expects in this company's interview, grouped by round. Work the shapes that come up, not the ones that read well on a list.

SQL3 to work

EASY~5m

Top Performing Models

Auth Service Health Checks

Solve →

Python3 to work

EASY~5m

What Won't Convert

Error HandlingSolve →

All Shell plc-style problems →

Shell plc is hiring data engineers now

The roles behind this loop. Prep against the levels and locations they are actually filling.

Hiring now

Shell plc data engineer · live from career pages

open roles

London

top metro

Own business-led data product strategy, acquisition design and ingestion priorities

L5London44d ago

Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog

L5Houston51d ago

Where they hire

London

Levels hiring

L52

Updated Jul 31, 20262 open listings across 1 city

Shell plc compensation and culture

The numbers, tech stack, and team structure live on the company overview.

Data engineering at Shell plc→

The role, comp by level, tech stack, teams, and culture signals.

Compare Shell plc with other data engineering employers

How the role, pay, and loop stack up against peer companies.

Data engineering at Airbnb→

Compare the role, comp, and interview loop.

Data engineering at Amazon→

Compare the role, comp, and interview loop.

Data engineering at Apple→

Compare the role, comp, and interview loop.

Data engineering at Databricks→

Compare the role, comp, and interview loop.

02 / Why practice

Prepare at Shell plc interview difficulty

01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition

Practice Shell plc-level SQL

Related Guides

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