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Join Acelerex and contribute to sustainable energy solutions! Acelerex is a consulting and software company in the electrical sector. We are a leading provider of cutting-edge technologies and solutions in Analytics, Data Services, and SCADA/EMS, revolutionizing the energy market worldwide. We’re looking for a Data Services Software Engineer to assist with development and maintenance of our Data Services platform — the layer that ingests, validates, and serves the large market data sets behind our Analytics and SCADA/EMS products. This is a hands-on role across the full data lifecycle. You will own ETL pipelines end to end — from source connection through transformation, validation, and publication — and also build the backend services and frontend interfaces our engineers, analysts, and clients use to configure, monitor, and explore that data. Job Responsibilities · Design, build, and maintain ETL/ELT pipelines that ingest data from ISO/RTO market feeds, weather services, and other data into the Data Services platform. · Implement validation, cleansing, gap-filling, and reconciliation logic so downstream analytics run on trustworthy time-series data, and build the monitoring and alerting that surfaces pipeline failures and data quality issues before users notice them. · Develop backend services and REST APIs that expose curated datasets to the Analytics platform, dashboards, and client integrations, including scheduling and orchestration of recurring data jobs. · Build and maintain the frontend of the Data Services platform — data catalogs, pipeline status dashboards, time-series charts, and configuration screens — coordinating frontend and backend data contracts and looking after the application’s security practices. · Model and evolve database schemas for large time-series and reference datasets, and tune queries, indexing, and storage so the platform performs at scale. · Document data sources, transformations, and lineage, and work with analysts and engineers to onboard new data feeds quickly and repeatably. · Leveraging AI for efficiency and automation of the tasks Requirements: · Qualifications: Minimum Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related field · Experience: Minimum 2 years in programming, whether that’s in data engineering, web development, or data science · Profile: We're looking for a resilient and proactive person, ready to develop and experiment quickly, who brings fresh ideas and follows good development practices. Required skills: · Proficiency in Python, plus working knowledge of JavaScript/TypeScript. · Experience in a modern frontend framework (Vue.js, React, or similar). · Strong SQL, with practical experience in PostgreSQL or another relational database. · Hands-on experience building or maintaining ETL/ELT data pipelines and working with structured data at scale. · Experience with a backend web framework and REST API design. · Capacity to communicate in English comfortably. Valued skills: · Curiosity and interest in learning about ETL processes · Familiarity with time-series data handling · Understanding of electrical engineering concepts: Ohm’s law, Power Flow, LMPs, or Energy Markets. · Experience using a backend web framework. · Experience with charting or data visualization libraries. Location and Start Date: The position will be based in the Acelerex office in Vadodara, India. Immediate availability is preferred. Benefits: · Competitive compensation · Professional growth opportunities in an international company · Collaborative and innovative work environment · Exposure to analytics and data projects in the renewables and energy sector Please see www.acelerex.com to learn more about Acelerex.
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.