Data Engineer Jobs in Bangalore

As of July 8, 2026, knok jobradar shows 92 live Data Engineer openings in Bangalore, making it the top city in India for this role by a clear margin.

Here is how Bangalore compares to other major cities right now:

The demand cuts across sectors: fintech, auto-tech, media-tech, BFSI, and consulting firms are all actively posting. You will find openings from large multinationals alongside funded startups, which means there are realistic options whether you are just starting out or targeting a senior lead position.

The table below lists companies with the most Data Engineer openings in Bangalore right now, based on knok jobradar data as of July 8, 2026.

BoschGroup leads with 10 openings, pointing to strong demand in the auto-tech and IoT data space. The presence of Razorpay and vegapay signals active fintech hiring, while JPMorgan Chase and KPMG India reflect steady demand in BFSI and consulting. Media companies like The Walt Disney Company and Roku are also in the mix, typically for streaming analytics and recommendation pipeline roles.

The ranges below come from knok jobradar data and reflect what is commonly cited in active Bangalore job postings as of July 2026. Your actual offer will depend on the company, your specific skills stack, interview performance, and how well you negotiate.

At the entry level, candidates who already know Spark, Airflow, or a cloud platform (AWS, GCP, or Azure) tend to land closer to the higher end of the 6-12 LPA band. Mid-level roles have the widest spread because the definition of 'mid' varies a lot between a seed-stage startup and a large bank. Senior and Lead roles at product companies often carry stock or ESOPs on top of the base, which can meaningfully change the total package. Publicly reported data on Glassdoor and levels.fyi shows a broadly similar pattern for Bangalore Data Engineers.

Build around the modern data stack. Most active job postings in Bangalore ask for a combination of SQL, Python, Apache Spark or Flink, and at least one cloud data warehouse such as BigQuery, Snowflake, or Redshift. If your resume only shows older tools, add one modern project using public datasets to demonstrate current skills.

Show pipelines, not just queries. Hiring managers want to see that you have built and maintained data pipelines end-to-end. Describe the source, the transformation logic, the scheduling tool (Airflow, Prefect, or similar), and who consumed the data downstream.

Cloud certifications help, but projects help more. A Google Cloud Professional Data Engineer or AWS Data Analytics certification is a useful signal, especially for roles at consulting firms and BFSI companies. That said, a GitHub project with a real dbt model or a working Kafka pipeline will often carry more weight in a screening call.

Quantify your impact. Instead of 'built ETL pipelines', write something like 'reduced data latency for the reporting team by rebuilding the ingestion layer on Airflow'. Outcome-oriented bullets move faster through shortlisting.

Tailor your resume to the sector. A fintech like Razorpay or vegapay will care more about real-time streaming and fraud-detection pipelines. A media company like Disney or Roku will lean toward recommendation data and event tracking. An auto-tech firm like Bosch will often mention IoT data and time-series processing. Match your resume language to the specific company type.

Apply early in the posting cycle. Data Engineer roles in Bangalore, especially at well-known companies, close fast. Applying in the first few days after a job goes live can meaningfully improve your chances of getting a callback.

Target a mix of company sizes. Larger companies like JPMorgan Chase and KPMG India tend to have structured interview processes with multiple rounds, while startups like vegapay or remotestar-team often move faster and value generalist data skills. Running both tracks in parallel keeps momentum going if one process slows down.

Prepare for a live coding or take-home round. Most Data Engineer interviews in Bangalore include a technical screen, either a SQL or Python coding test or a short case study. Practise writing window functions, clean PySpark code, and explaining your design decisions out loud.

Follow up once after applying. A short, polite message to the hiring manager or recruiter on LinkedIn, referencing the specific role and one reason you are a strong fit, is still an effective way to get noticed. Two to three sentences is enough.

Use tools that do the heavy lifting. Tracking openings across dozens of job sites manually takes time away from interview prep. knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you, so you can stay focused on what actually moves the needle.