Data Engineer
Dentsu — Bengaluru, Karnataka
₹3–7 LPA (HireSetu estimate) · 0–3 yrs exp · Freshers eligible · Full-time · onsite
HireSetu listing reference 2977b1 · employer requisition R1132526 — confirm requirements below, then apply on the employer site.
Quick answer: A mid-level generalist role in Bengaluru. You own pipeline architecture and reliability, and you're the person product, design and analytics teams come to when their data breaks. Expect to work across ingestion, warehousing and access control rather than in one narrow lane.
From Dentsu's job posting
The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.
Key responsibilities
Creates and maintains optimal data pipeline architecture
Assembles large, complex data sets that meet functional / non-functional business requirements
Identifies, designs and implements internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc
Builds analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keeps our data separated and secure
Creates data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader
Works with data and analytics experts to strive for greater functionality in our data systems
Text from Dentsu's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
A wide remit, mid-level
Read the responsibilities together and one person owns a lot: pipeline architecture, large data sets, automating manual processes, infrastructure that scales, plus the security around all of it. Then there is the human half, sitting with product, design, analytics and executives on their data problems. That mix fits someone three to five years in who has run pipelines in production, not a fresher with course projects.
One detail worth settling early: how senior the rest of the team is and who reviews your code, since that decides how much support you get.
Lead with the pipeline you owned
The first two lines of your CV should be a pipeline you took from raw source to something a team trusted. Which sources, how much data, how often it ran, what broke and how you found it. Tool names matter less than that story, and ten technologies listed with nothing behind them reads as filler.
SQL and warehouse modelling are the base layer of this work, whatever the orchestration tool. The security line is easy to skim past: separated environments, controlled access, personal data handled properly. If you have done that on a live system, give it a sentence of its own.
Where the next two years go
Two years here builds range: many source systems, several stakeholder teams, and tooling used by analysts and data scientists. Senior data engineer, analytics engineering or platform work are the moves that follow.
Dentsu is a media and marketing group, so the customer acquisition and efficiency metrics in the posting sit on campaign and audience data. If you have only handled app or transactional data, the shape of marketing data will be new.
Drafted with AI from Dentsu's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Dentsu's careers site with the Apply button.
- Create a Workday account for Dentsu. Workday logins are separate for every company, so an account made for another employer won't work here.
- Upload your resume and check every auto-filled field; Workday often misreads dates and job titles.
- Answer the screening questions, submit, and look for the confirmation email from Workday.
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