Data Engineer Jobs in Delhi NCR

As of 8 July 2026, knok jobradar is tracking 66 live Data Engineer openings in Delhi NCR. That places Delhi NCR as the second-largest market for this role in India right now, trailing only Bangalore (92 open roles) and ahead of Hyderabad (23), Pune (23), Chennai (14), and Mumbai (8).

The demand here skews toward financial services, analytics outsourcing, and telecom tech, which is a different flavour from Bangalore's startup-heavy mix. If you have experience working with finance or insurance data, Delhi NCR may offer you a stronger pool of relevant roles than the raw city numbers suggest.

Job postings have stayed consistent through mid-2026, which signals that companies are actively building or expanding data platforms rather than doing emergency backfill hiring. For someone job-hunting right now, 66 roles spread across a variety of company types gives you a real shortlist to work with.

The companies below are posting the most Data Engineer roles in Delhi NCR right now, based on live job counts from knok jobradar.

EXL Service leads with 14 openings, the clearest sign of a large ongoing data ramp-up. EXL is an analytics and operations firm working primarily with global insurers and banks, so expect SQL-heavy, pipeline-heavy work tied to financial data. Deutsche Telekom Digital Labs (7 roles) is the product and tech arm of the German telecom major, and their roles tend to require cloud-native data skills. Capri Global Capital and Paytm bring the fintech flavour that sets Delhi NCR apart from other cities. Among smaller names, Lumiq.ai is an AI-focused data company worth a close look if you want a startup environment without relocating.

The figures below come from the knok jobradar dataset, based on compensation disclosed in live job descriptions. Many JDs in India do not publish a salary, so the full picture is incomplete. For a broader sample, Glassdoor and levels.fyi carry publicly reported compensation data.

A few honest caveats. Entry-level roles at IT services firms often sit closer to the lower end of the 6-12 LPA band, while fintech and product companies within the same band commonly offer more. The mid-level range of 14-26 LPA is wide because it covers both traditional analytics firms and product companies with very different pay structures. Senior engineers with strong cloud platform skills, hands-on Spark or dbt experience, and solid data modelling knowledge are commonly cited by recruiters as the profile that reaches the upper end of 28-45 LPA. Lead and Staff roles at 42-65+ LPA exist but are filled mostly through referrals and headhunter searches rather than public job boards.

Delhi NCR's Data Engineer market is weighted toward analytics outsourcing, fintech, and telecom tech. Your resume should reflect what these industries care about.

Financial domain knowledge is a real differentiator here. If you have worked with loan data, insurance claims pipelines, or transaction data, call it out explicitly. Companies like EXL Service and Capri Global Capital are not just hiring for technical skills; they want people who already understand the data they will be working with.

Skills that appear most in Delhi NCR JDs. Python and SQL are table stakes. Beyond those, Spark or PySpark, Apache Airflow or a similar orchestration tool, and at least one cloud data platform (AWS Redshift, Azure Synapse, or Google BigQuery) come up repeatedly. dbt is increasingly asked for at mid and senior level.

Certifications carry weight in this market. An AWS Certified Data Engineer, Azure Data Engineer Associate, or Google Professional Data Engineer badge signals cloud readiness to recruiters who may not themselves be technical. It is not mandatory but it helps your resume clear initial filters at companies like Deutsche Telekom Digital Labs.

Quantify your pipeline work. Vague statements like 'built data pipelines' do not stand out. Describe what the pipeline fed, what problem it solved, and any improvement it delivered, even in rough terms.

Keep LinkedIn updated. Several companies on this list actively source candidates through LinkedIn Recruiter before a role ever appears on a job board. An up-to-date headline and a skills section that matches JD keywords can put you in front of recruiters passively.

Start with the 10 companies in the table above and tailor your resume for each cluster. For EXL Service and Marsh McLennan, lean into financial and insurance data experience. For Deutsche Telekom Digital Labs, lead with cloud-native engineering. A little tailoring per application noticeably improves your callback rate compared to a single generic resume sent everywhere.

Apply directly on company career pages in addition to job boards. EXL, Paytm, and Deutsche Telekom Digital Labs all maintain their own portals, and applications submitted there are sometimes reviewed faster than those coming through aggregators.

Referrals still dominate hiring in Delhi NCR. Before applying cold to any company, check your LinkedIn connections for someone who works there. A warm message to a former colleague or college batch-mate is worth more than a polished cold application.

Follow up after applying. If you hear nothing in a week, a short LinkedIn note to the recruiter or hiring manager is completely normal and often welcomed. Keep it brief: who you are, which role you applied for, and one specific reason you are interested in that company.

knok checks 150+ job sites nightly, automatically applies to Data Engineer roles that match your resume, and messages HR contacts on your behalf, so you are not missing roles that appear and fill quickly.