Data & AI Engineer

Data & AI Engineer (Part-time)

Location: Remote (India)

Working Hours: 3-4 hours per day

Language: Excellent English (verbal & written)

About the Role We are a consulting-led agency helping traditional businesses transform raw data (Excel files, internal systems, APIs) into structured databases, analytics layers, and AI-powered automation systems. We are looking for a Data & AI Automation Engineer to work closely with the founder and act as a backend execution partner across data engineering, automation, analytics, and applied AI workflows. This is a hands-on role focused on building real systems that businesses actually use, not academic ML research. You will help design, build, and maintain data pipelines, dashboards, and AI-enabled automations using modern tools and no-code/low-code platforms.

Key Responsibilities Data Engineering • Build and maintain data pipelines from APIs, databases, Excel/CSV files, and internal tools • Clean, transform, and structure messy, real-world business data • Design simple but scalable data models for analytics and automation • Work with databases such as MySQL, PostgreSQL, Snowflake, or equivalent • Support data warehouses and data storage management

AI & Automation • Build and maintain automations using no-code/low-code tools (n8n, Make, Zapier) • Develop AI-powered workflows using LLM APIs (OpenAI, Claude, etc.) • Work on document processing, text extraction, summarisation, and classification • Build chatbot-style and internal AI assistants for business use cases • Integrate AI outputs into databases, dashboards, and internal systems

Analytics & BI • Prepare data for analytics and reporting use cases • Support dashboards using Power BI, Tableau, or similar BI tools • Ensure consistency between source systems, warehouses, and reporting layers

Deployment & Support • Monitor data pipelines and automation workflows • Debug failures, handle edge cases, and optimise performance • Maintain basic logging, monitoring, and error handling • Document workflows, pipelines, and system logic for reuse and scaling

Requirements • Strong SQL skills (queries, joins, transformations) • Good working knowledge of Python for data and automation tasks • Experience with relational databases (MySQL, PostgreSQL, Snowflake, or similar) • Hands-on experience with ETL pipelines or backend data engineering • Basic understanding of APIs, webhooks, and system integrations • Experience using no-code/low-code automation tools (n8n, Make, Zapier, etc.) • Ability to work independently and take ownership of backend systems

Experience •

3–5 years of relevant experience in data engineering, automation, or software roles • Strong candidates with 2+ years of hands-on experience may also be considered • Prior experience in consulting, agencies, or product-driven teams is a plus

Nice to Have • Experience working with cloud platforms (AWS, GCP, or Azure, basic level) • Familiarity with Power BI or Tableau • Experience translating business problems into technical solutions • Strong documentation and communication habits

Why Join Us • Work directly with the founder on end-to-end data, automation, and AI solutions • Build systems with real business impact (not internal-only experiments) • Exposure to modern data stacks, AI tools, and automation platforms • High ownership role with visibility across multiple industries and use cases • Clear growth path into advanced data engineering, AI solutions, or architecture roles

Important Note This role focuses on applied AI and automation, not training machine learning models or academic AI research. The work is practical, execution-driven, and business-facing.