---
title: 'Job ID 203 - Software Consultant (Data Engineer) at energytec.ai'
canonical: 'https://feeny.ai/job/job-id-203-software-consultant-data-engineer-energytec-ai-ecil-h9m8fzq3k1w2'
type: 'job'
last_seen: '2026-09-12'
---

# Job ID 203 - Software Consultant (Data Engineer) at energytec.ai

- **Company:** energytec.ai
- **Location:** ECIL, Hyderabad, India
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/etec/jobs/4696786006

## Job description

We exist to make it better.

We’re a new generation software company based in Hyderabad, helping to scale digital businesses to disrupt global utility retail markets. We provide technology development, customer experience and process optimisation services to support our award-winning utility retailers in New Zealand and Australia.

It’s an exciting time where traditional utilities need to innovate. Consumers expect companies to do good for their employees, customers, local communities, and for the future of the planet (all while offering seamless user experience that’s great value). Our strategy recognises that the exceptional technology we create makes us one of the best consumer facing businesses in our industry.

Our Culture: The “Real” Deal We don’t just build software; we build careers through our Employee Value Proposition (EVP):

- Real Growth: Learning is integral to delivery. We provide clear pathways and role-based upskilling and certifications.
- Real Care:  energytec elevate (e²): 3 hours of protected in-work learning time each week to enable sustainable high performance, continuous development, and long-term career growth; we value sustainable impact over burnout.
- Real Impact: Turn your learning into a legacy. Work with Practice Champions to strengthen our platform architecture and reduce dependencies.

Job Description

Software Consultant - Data Engineer

## About the Role

We are looking for a Software Consultant - Data Engineer to contribute to the development and delivery of scalable, secure, and reliable data engineering and software solutions for our product platform.

AI-first engineering at energytec.ai

At energytec.ai (eTEC), we build with an AI-first mindset, operating as a human-led, agent-operated organization where engineers own outcomes and use AI responsibly to accelerate delivery, improve quality, and strengthen platform resilience.

- Apply AI across the entire software development lifecycle (SDLC), utilizing it for design assistance, coding, test generation, security checks, documentation, incident summarization, and runbook automation.
- Guardrails & Governance: You will maintain non-negotiable guardrails for code reviews, security and privacy controls, and governance, while measuring impact through SLOs, DORA metrics, and cost/performance outcomes.
- Knowledge Sharing: You will actively share knowledge and standardize prompts, playbooks, and reusable automation to multiply overall team effectiveness.

## Responsibilities

- Data Pipeline Engineering: Design, develop, and operate ETL/ELT pipelines using Python (Pandas) to meet strict SLOs for freshness, latency, and completeness.
- Data Modeling & SQL Optimization: Write performant SQL for PostgreSQL and Trino, while implementing and maintaining dimensional models and curated datasets.
- Cloud Architecture & Optimization: Architect and manage AWS data solutions (S3, Glue, Athena), optimizing for scalability, resiliency, performance, and cost.
- Infrastructure as Code & CI/CD: Build infrastructure as code with Terraform and implement automated CI/CD pipelines on AWS for testing, security scans, and deployment.
- Security & Vulnerability Management: Embed a security-first mindset in the SDLC using least-privilege IAM, secure coding, secrets management, and encryption.
- Collaboration & Analytics Support: Collaborate with cross-functional product, analytics, and engineering teams to translate business requirements into maintainable components and self-service Superset dashboards.

## Minimum Qualifications

- Core Experience: 5+ years of hands-on data engineering experience building and operating production-grade ETL/ELT pipelines.
- Language Proficiency: Strong programming proficiency in Python, with deep, proven experience using the Pandas library for data manipulation.
- Advanced Database Skills: Advanced SQL development capabilities utilizing PostgreSQL and Trino, alongside practical experience in dimensional modeling.
- AWS Data Services: Proven experience implementing cloud data infrastructure using core AWS services, specifically S3, Glue, and Athena.
- Infrastructure Tools: Hands-on experience writing, versioning, and managing cloud infrastructure as code (IaC) using Terraform.
- Agile Delivery: Track record of working effectively within Agile teams to consistently ship high-quality deliverables every sprint.

## Preferred Qualifications

- Advanced AWS Ecosystem Knowledge: Extended exposure to broader AWS services including Lambda, Secrets Manager, RDS, DynamoDB, Lake Formation, DMS, and API Gateway.
- AI-Assisted Development: Experience leveraging AI-powered tools in coding, testing, deployment, and monitoring to maximize development efficiency and delivery speed.
- Modern Visualization Tools: Familiarity with creating and maintaining visualizations and dashboards in Superset or similar business intelligence tools.
- DevSecOps Integration: Experience integrating automated security checks and vulnerability remediation directly into active CI/CD pipelines.
- Business Acumen: Demonstrated strength in bridging the gap between complex business requirements and scalable, well-designed technical components.
- Communication & Collaboration: Excellent written and verbal communication skills with a proven ability to manage stakeholders and align with cross-functional teams.

Work Location: Hyderabad

Work Mode: Hybrid (1 day WFH, 4 days WFO)

Notice Period: Looking for candidates who can join within 30 days.

Our vision is to be the most loved company wherever we play.

At the heart of our business is a purpose led culture. We’re a community at heart, and we know our people are unstoppable when they have the empowerment to come up with the answers. Here’s some of the benefits we give:

- Flexible working
- Growth academy and internal career opportunities - we grow our people while we grow our company
- Competitive salary
- Five extra days of paid leave every year to do the things that matter to you
- A paid volunteer day every year to give back to your community
- Parental leave that’s above and beyond legal requirements

Want to help us make it better? Apply and we’ll be in touch.

## About energytec.ai

## Company Overview
- **One-liner**: energytec.ai is a New Zealand-founded, Hyderabad-based technology company that deploys production-grade AI agents and infrastructure to transform retail experiences for the energy and telecommunications sectors.
- **Entity Type**: Private (Bootstrapped/Scale-up)
- **Headquarters**: Hyderabad, Telangana, India (NSIC Business Park, ECIL)
- **Founded**: 2015
- **Founders**: Kishore Borra (Managing Director)

## Core Business
- **Primary industry/industries**: AI Engineering & Infrastructure, Software Development (Energy & Telecom Retail)
- **Target customers**: B2B — energy retailers, mobile and broadband providers, and telecommunications companies; specifically acts as the technology backbone for The Energy Collective (TEC).
- **Mission or purpose statement**: To revolutionize the retail sector through cutting-edge AI engineering, building tomorrow’s human-led, agent-operated business today.

## Products & Services
- **AI Agent Infrastructure & Orchestration**: energytec.ai builds and operates multi-agent systems (40+ agents in production) that execute 10,000+ workflows daily. These agents handle technology support, customer insights, competitor analysis, reconciliation, sentiment analysis, and drive the entire software development lifecycle (SDLC).
- **AI-First Enterprise Platform**: A microservices-based platform rebuilt from the ground up for AI-first operations, featuring real-time data pipeline integration, agent performance monitoring, and CI/CD for AI agent deployment.
- **Human-Agent Collaboration Interfaces**: Dashboards, agent control panels, and tools that blend human decision-making with AI execution for enterprise customers.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: 40+ AI agents executing 10,000+ workflows daily; 87 employees (as of mid-2025)
- **Notable Investors/Partners**: The company is bootstrapped. It acts as the technology arm of The Energy Collective (TEC).
- **Growth Signals**: The company is actively hiring for senior engineering roles and describes itself as a “scale-up.” It claims to have production AI infrastructure that competitors are still “2-3 years away from.” LinkedIn data shows a -11.4% YoY headcount decline, but the company’s own career page emphasizes rapid growth and a pivot to AI-first operations.

## Competitive Advantages
- **Production-Proven AI at Scale**: While many companies are still in the demo/AI tool experimentation phase, energytec.ai has 40+ agents executing 10,000+ workflows daily in real customer environments.
- **Full-Stack AI Transformation**: The company has rebuilt its entire business — from development methodology to customer-facing products — around AI-first principles, not just retrofitting AI into legacy systems.
- **Speed & Ownership Culture**: Described as having “speed of thought development” with no bureaucracy; engineers own the code they build and have direct customer feedback loops.
- **Hidden AI Powerhouse**: Located in East Hyderabad, away from the corporate politics of larger tech hubs, offering world-class AI work with short commutes and flexible policies.

## Strategic Focus
- **Current priorities**: Scaling AI agent orchestration across microservices; evolving CI/CD into an “Agentic AI SDLC”; building observability for multi-agent systems; pioneering the “Human-Led, Agent-Operated” business model.
- **Direction for growth**: Expanding from energy and telecom retail into broader enterprise retail AI applications; mentoring engineers to become AI-first developers; building the methodologies others will adopt in 2-3 years.

## Why Work Here
- **Culture highlights**: Described as a “people-first” company with a focus on flexibility, continuous learning, and innovation. The culture is built on “being yourself, growing together” and viewing mistakes as opportunities for growth.
- **Remote/hybrid/office policy**: Flexible working policies; office presence in East Hyderabad (NSIC Business Park) with a short commute focus.
- **Notable perks or engineering culture**: Engineers get “complete AI transformation” exposure — they don’t just use AI tools but rebuild the entire business around AI. Direct mentorship from international founders with proven scale-up experience. Engineers build the systems others will copy in 3-5 years. No special “AI team” — everyone does AI.
- **Engineering focus**: Full-stack engineers, DevOps/platform engineers, and senior engineers/tech leads are the primary hiring targets. The work involves designing agent networks, building human-AI interfaces, and pioneering AI-first development methodologies.

## Sources
1. [energytec.ai - Official Website](https://energytec.ai/)
2. [energytec.ai - Careers Page](https://energytec.ai/careers.html)
3. [energytec.ai - About Page](https://energytec.ai/about.html)
4. [energytec.ai - People & Culture Page](https://energytec.ai/people.html)
5. [LinkedIn - energytec.ai Company Page](https://in.linkedin.com/company/energytecai)

## Other roles at energytec.ai

- [Job ID 207 - Senior System Administrator (Infrastructure & DevOps)](https://feeny.ai/job/job-id-207-senior-system-administrator-infrastructure-devops-energytec-ai-ecil-msvrgmfjbg24) — ECIL, Hyderabad, India
- [Job ID 199 - Process Specialist](https://feeny.ai/job/job-id-199-process-specialist-energytec-ai-hyderabad-rjw125atrj6s) — Hyderabad, India