Accenture Data Engineer Interview Guide

The Accenture 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

3 real Accenture interview questions

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

SQLL5

Identify Subject Matter Experts from the employee_expertise table: employees qualify if they have 8+ years of experience in a single domain OR 12+ years across two different domains; return their employee_ids

Onsite · sql

SQLL4

Write a SQL query returning three aggregates: total bookings in the last 90 days, total bookings in the last 365 days, and all-time total bookings

Onsite · sql

PythonL3

Write a Python function that returns a list containing only the values that occur exactly once in the input list

Online assessment

Try a Accenture-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

Accenture is hiring data engineers now

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

Hiring now

Accenture data engineer · live from career pages

open roles

cities

Mettre en œuvre des architectures data modernes (data warehouse, datamart, schémas analytiques) BR

L4Clermont28d ago

Design, build, and maintain scalable data pipelines and data stores supporting analytics, reporting, and operational use cases BR

L4Multiple locations42d ago

Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

L4Chennai45d ago

The AI Agent Data/ML Engineer will design, develop, and operationalize AI agents, large‑scale data pipelines, and machine learning solutions to support enterprise automation and analytics initiatives.

L4Charlotte70d ago

New postings per week

5/18

6/15

6/29

week beginning · ~6 weeks of data

Levels hiring

L44

Updated Jul 31, 20265 open listings across 3 cities

Accenture compensation and culture

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

Data engineering at Accenture→

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

Compare Accenture 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 Accenture 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 Accenture-level SQL

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