Top Companies Hiring Data Engineers in Bangalore

Data Engineer compensation in India varies by city, company stage, and whether the role is product, platform, or growth-focused. Fixed pay is quoted in LPA (lakhs per annum); variable pay and ESOPs are common at startups. Always clarify fixed vs CTC before negotiating.

Bangalore / Hyderabad: Highest volume of tech roles; senior Data Engineer bands at top of range.
Mumbai / Delhi NCR: Strong fintech and consumer; premiums for leadership roles.
Pune / Chennai: GCC and enterprise SaaS; competitive base, lower equity upside.
Bangalore: Factor in cost of living vs Bangalore when comparing offers.

1. Anchor with data from 3+ offers or trusted peers at the same level.
2. Negotiate fixed first; treat variable and ESOP separately.
3. Ask for signing bonus if base is capped.
4. Get the offer letter with break-up (basic, HRA, PF) before resigning.
5. If competing offers exist, share timelines, not numbers, to accelerate decisions.

CTC typically includes: Basic, HRA, special allowance, PF employer contribution, gratuity provision, and projected variable. Ask for in-hand estimate after tax. ESOPs at startups may not appear in CTC, model dilution and vesting cliff separately.

As of 8 July 2026, knok jobradar tracked 74 active Data Engineer openings in Bangalore, making it the city with the most listings for this role anywhere in India. Delhi follows with 60 openings, while Pune (20), Hyderabad (17), Chennai (10), and Mumbai (9) make up the rest of the national picture. Bangalore's lead is no surprise: the city hosts a dense cluster of global capability centres (GCCs), well-funded product startups, and fintech firms that all run data-heavy pipelines. If you want the widest selection of Data Engineer roles in one place, Bangalore is your best bet right now.

The table below lists companies actively hiring Data Engineers in Bangalore, from knok jobradar data as of 8 July 2026.

GCCs dominate by volume. BoschGroup leads with 10 open roles, the highest headcount of any single employer on the list. JPMorgan Chase and Goldman Sachs add four more seats from the BFSI side. These companies typically offer structured career ladders, global project exposure, and stable compensation bands, a good fit if you want to build deep domain expertise. Product companies like Razorpay and Smartsheet hire at lower volumes but move faster and put engineers closer to the end product. Razorpay is a homegrown fintech where Data Engineers directly support payment infrastructure at scale. Smartsheet roles tend to align with US-based SaaS product teams. Startups and niche firms, Vegapay, Aivar Innovations, and RemoteStar Team, offer broader ownership of the data stack and, in some cases, ESOP upside. The trade-off is lower brand recognition and less process structure than at a GCC or established product company.

Salary figures below come from knok jobradar data as of 8 July 2026. All numbers are in LPA (lakhs per annum).

A few things to keep in mind: - GCC packages: Companies like JPMorgan Chase and Goldman Sachs are publicly reported to pay at or above the senior band, and typically add annual bonuses and RSU grants on top of the fixed component.
- Fintech premium: Razorpay is commonly cited in industry surveys as paying above the market median for engineering roles at comparable experience levels, though public sample sizes remain limited.
- Startup trade-offs: Early-stage companies may offer lower fixed pay but compensate with ESOPs. Always ask for the full CTC breakdown, PF, variable, and equity separately, before comparing offers.

Bangalore's Data Engineer market is active, but competition is real. Here is what separates shortlisted candidates from the rest. Get hands-on with the cloud stack employers actually use GCCs like BoschGroup run workloads on AWS, Azure, or GCP. Product companies like Razorpay are heavily AWS-centric. Hands-on experience with at least one major cloud platform, and the ability to discuss cost, scale, and reliability trade-offs, matters more than a long list of tools on your resume. Know your pipeline tools end to end Apache Spark, dbt, Airflow, and Kafka appear repeatedly in Bangalore Data Engineer job descriptions. Interviewers at product companies test whether you can set up and debug these tools, not just name them. Build a portfolio project that goes from raw ingestion to a clean data model and includes at least one scheduled workflow. SQL is still the filter round Every company on this list, from Goldman Sachs to Vegapay, uses a SQL round to screen candidates. Practice window functions, query optimisation, and writing readable, production-quality SQL. Many candidates fail here despite strong Python or Spark skills. Add domain context wherever you can If you have fintech or BFSI experience, lean into it. JPMorgan Chase, Goldman Sachs, Razorpay, and Vegapay all work with finance-adjacent data domains, transactions, reconciliations, fraud signals. Framing your past work in terms of business outcomes ('reduced reconciliation lag' or 'improved data freshness for risk dashboards') lands better than listing tool names alone.

With 74 openings across Bangalore, being systematic pays off more than applying at random. Prioritise by company type first Decide what you want from this move before you apply. GCCs offer stability and global scope; product companies offer speed and ownership; startups offer breadth and equity. Mixing all three without a clear story makes it hard to tailor your resume or answer 'why us?' convincingly in interviews. Target BoschGroup separately With 10 open roles, BoschGroup is the single biggest opportunity on this list. Check whether the roles span multiple sub-teams, data platform, analytics engineering, or adjacent areas, since you may be able to apply to more than one position with a lightly tailored resume. Apply early in the hiring cycle Most of these openings were posted in July 2026. Response rates drop sharply after the first few weeks of a listing going live, as recruiter queues fill up. If a role looks right, apply promptly rather than spending days perfecting every line of your resume. Message the hiring team directly For product companies and startups, a short, relevant note to the hiring manager or a Data Engineer on the team, via LinkedIn, noticeably improves your chances of reaching a first call. Keep it to a few sentences: who you are, one relevant thing you have built, and what specifically interests you about their data work. If doing all of this manually feels like a second job, knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR on your behalf, so your profile stays in front of the right people even when you are not actively searching.