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We are seeking an experienced Senior Data Engineer with a strong background in business intelligence, data engineering, and a passion for turning complex data into valuable insights that drive business decisions. If you are interested in applying AI and have experience in mentoring junior members and collaborating with peers, we invite you to join our Bangalore office as a Senior Data Engineer. As a Senior Data Engineer, you'll develop data pipeline solutions that help address business data needs, which require an understanding of the business context and technical skills to create reliable solutions. Beyond data pipelines, this rule must help be a data storyteller and have exposure building and using AI. Structured data models typically in Cloud Databases Semi-structured data models on storage bucketsPython & SQL for collecting, enriching, cleansing, and other transform data.Data APIs in Python Flask containersLeverage AI for analytics and accelerate of developmentData visualizations and dashboards using Tableau. Optimization solutions for costs and performance Execute automated deployment processes on Jenkins or GitHub Actions. Create as-build documentation and run books for operations. Stay updated on the latest technical advancements, especially within GenAI Recommend changes based on advancements in Data Engineering and AI Experience: 5+ years of experience in data engineering, with a strong focus on Python programming, data pipeline development, and API design.Proven experience working with container technologies such as DockerHands-on experience leverage AI.Proficiency in SQL and experience working with various relational and NoSQL databases.Strong knowledge of data warehousing concepts, ETL processes, and data modeling techniques.Experience with cloud-based (AWS, GCP, Azure) data storage and processing platforms Bonus Skills: Machine Learning (TensorFlow, PyTorch or Similar) Knowledge of big data technologies Experience with Pandas, Spacy and NLP libraries Familiarity with data visualization tools such as Tableau, Power BI, or Looker. Experience in agile development methodologies Optimization of data pipeline for costs and performance Strong communication and collaboration skills in English, with the ability to work effectively with both technical and non-technical stakeholders. Experience translating complex ideas into simple examples Bachelor's degree in computer science, IT, engineering or a related field Relevant certifications in BI, AI, data engineering, or data visualization tools are highly desirable. This role will be based out of The Leela Office located on the 4th Floor, Airport Road, Kodihalli, Bangalore- 560008. Our expectation at this time, is that you would work HYBRID work from our office on Tuesdays, Wednesdays, Thursdays with flexibility to work from home on Mondays and Fridays. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.