Junior Marketing AI & Data Engineer

Jobtailor; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Jobtailor is seeking a data engineering/analytics professional to monitor ingestion pipelines, evaluate ML models, and support data-driven dashboards for marketing teams. You will ensure data privacy compliance, optimise tokenisation, and assist with AI-driven campaign tooling.

The role requires 2+ years in data pipelines, strong Python/SQL skills, and familiarity with Databricks, AI tools, and LLMs. Excellent English communication is essential for cross-team collaboration.

Qualifications

• 2+ years in data engineering, analytics or predictive pipelines.
• Proficiency in Python and SQL with willingness to learn Databricks models.
• Experience using AI coding assistants and LLMs to accelerate code and dashboards.
• Understanding of data privacy and cross-border data handling.
• Strong English communication and presentation skills.

Responsibilities

• Monitor and troubleshoot real-time data ingestion from DSPs, social networks, and eCommerce feeds.
• Evaluate ML models for product consumption velocity and trend validation.
• Test data pipelines for tokenisation and anonymisation per data protection rules.
• Update front-end dashboards for non-technical marketing teams.
• Manage intake data from AI briefing forms and map campaigns to briefs.
• Run automated CSV configuration macros to accelerate ad deployments and Gen AI script tuning.

Skills

Python

SQL

Education

Bachelor's degree

Tools

Databricks

AI Coding Assistants

LLMs

Interactive Dashboards

Job description

Responsibilities

• Monitor and troubleshoot daily data ingestion routines for the unified data engine, ensuring real‑time feeds from DSPs, social networks, and eCommerce platforms run without interruption.
• Run, evaluate and test existing machine learning models to track product consumption velocity, supporting validation of early‑stage trend spikes and real‑time success probabilities.
• Assist with routine technical testing of data pipelines to confirm localised data tokenisation and anonymisation filters are functioning correctly under relevant regional data protection regulations.
• Update, refine and manage front‑end interfaces and interactive dashboards, keeping them functional and accessible for non‑technical marketing teams.
• Manage daily intake spillover from the natural‑language AI briefing form, resolving formatting gaps and mapping historical campaign data into new briefs.
• Execute automated bulk CSV configuration macros to accelerate ad deployments for the Paid Media team, and prompt‑tune Gen AI scripts to support bulk creative asset generation.

Requirements

• BA/BS degree or equivalent experience.
• 2+ years of professional experience or structural familiarity with data engineering, data analytics, or predictive pipelines within tech or digital media.
• Competence writing basic Python and SQL queries, with a strong willingness to learn how production data models are structured within Databricks environments.
• Eagerness to use modern AI coding assistants and LLMs to accelerate routine code management, testing cycles, and dashboard building.
• Basic understanding of data privacy principles and why cross‑border data handling protocols matter when working with regulated markets.
• Exceptional verbal and written English communication and presentation skills.

Core Competencies

Demonstrates expertise in data engineering and analytics, with proficiency in Python and SQL for data manipulation and model evaluation. Capable of managing data pipelines and ensuring compliance with data privacy regulations while effectively communicating with non-technical teams.

Tools & Technologies

• Databricks
• AI Coding Assistants
• LLMs
• Interactive Dashboards