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Data Engineer

Summary

Build and maintain data ingestion, transformation, and validation pipelines in a consulting environment, ensuring downstream systems rely on clean, reliable data.

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ().

About the Role

We build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation pipelines, and the quality checks that keep them honest.You'll work inside a Monks delivery team, alongside clients, engineers, and product, owning the pipelines the rest of the product is built on.We're all-in on agentic engineering. Tools like Claude Code and Codex are part of our everyday workflow, and we're looking for people who are genuinely fluent working alongside AI coding agents and excited to push those practices further.

Who You Are

  • Rigorous about correctness: you assume data is dirty until your checks prove otherwise.
  • Ownership-minded: you keep the pipelines you build reliable and observable.
  • A pragmatic problem-solver: you fix the root cause, not just the symptom.
  • A clear communicator: you make data quality legible to non-specialists.

What You'll Do

  • Build and maintain ingestion and transformation pipelines across diverse sources.
  • Build automated validation and integrity checks that catch problems early.
  • Model and move data so downstream systems can rely on it.
  • Monitor pipeline health and troubleshoot data issues.
  • Review code, including AI-generated code, for quality and consistency.
  • Collaborate with engineers and product to define quality standards.

What You Bring

  • 5+ years in data or backend engineering.
  • Language-flexible: we work across TypeScript / Node and Python, and you're strong in at least one.
  • Strong SQL and data modeling across relational and analytical stores.
  • Solid grasp of ingestion, ETL, and pipeline architecture.
  • Experience designing data validation and quality checks at scale.
  • Experience building on AWS.
  • Strong English communication skills.
  • Comfortable in a fast-paced, agile consulting environment.

Extra Credit

  • Distributed transformation frameworks (e.g. PySpark, Snowpark).
  • dbt, Snowflake, or modern warehouse experience.
  • Streaming and real-time pipelines.
  • Working with documents or other unstructured data.
  • Open-source work you're proud to link.

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • When is your earliest available start date?
  • Have you been referred by an employee of Media.Monks? If that is the case, please state their name + last name.
  • Have you ever been employed by Monks? choose one
  • Do you have 5+ years of experience in data engineering or backend engineering? choose one
  • Are you highly proficient in at least one of Python, TypeScript, or Node.js? choose one
  • Do you have strong experience with SQL, data modeling, and relational or analytical databases? choose one
  • Have you designed and built scalable data ingestion, ETL, or transformation pipelines? choose one
  • Have you implemented automated data validation, integrity checks, monitoring, and data-quality processes at scale? choose one
  • Do you have hands-on experience building and deploying data solutions on AWS? choose one
  • Are you comfortable using AI coding agents such as Claude Code or Codex to develop, review, and improve production-quality code? choose one
  • Are you legally authorised to work in India? choose one
  • What is your Current and Expected CTC? Please mention in INR

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