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Senior Data Engineer

Builder.ai

Builder.ai

Data Science
Gurugram, Haryana, India
Posted on Apr 23, 2025

About Builder.ai
We’re on a mission to make software building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and even global brands, like the BBC, Makro and Pepsi achieve their software goals and we’ve only just started.

Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.



Life at Builder.ai
At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take software development building to new heights.

Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.

In return for your skills and commitment, we offer a range of great perks, from private healthcare and discretionary variable pay or commission scheme, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild


About the role
We are looking for an enthusiastic, diligent & driven Data Engineer to join the Builder.ai Data team in Gurugram.

We are a data-driven organisation, using Knowledge Graphs and AI powered by vast quantities of data, to change the way that software and data platforms are built. We have ambitious plans to develop platforms and services that not only suit our needs, but also the needs of our customers as well.

This role will be a key pillar in the build out of the Data Engineering function of the Data & Analytics team.

Responsibilities:

  • Build and manage core data pipelines and models for the entire organisation - touching all domains of the business
  • Tune and optimise queries, compute resource and storage capacity via the latest Big Data tooling and technologies
  • Manage data infrastructure and deployments - upgrading and improving CI/CD workflows
  • Ensure the continued running of some of our most important datasets for the organisation - helping to improve the quality and accuracy of these datasets
  • Work alongside a highly motivated team of Data Analysts and Data Scientists as they contribute towards building products and services to power Builder’s core capabilities
  • Provide thought leadership in data tooling, systems and techniques, including architectural patterns that work with Software Engineers and Data Science teams
  • Manage projects through to completion independently and while collaborating with internal stakeholders
  • Communicate with stakeholders at a suitable level of detail to ensure requirements are well understood and stakeholders have accurate expectations on dates and functionality.
  • Coach and mentor junior Data Engineers

Requirements

  • Expert knowledge of structured or custom ETL management (Dagster, Airflow, Luigi, etc.)
  • Expert knowledge with SQL databases (Relational, Snowflake, etc.)
  • Expert knowledge of Big Data systems (Spark, Hadoop, Pig, etc.)
  • Expert knowledge of programming languages (Python etc.)
  • Proficiency with DBT and data modelling techniques
  • Expert knowledge of cloud services (ideally Azure)
  • Knowledge of Agile methodologies and continuous delivery
  • Knowledge of continuous integration pipelines and technologies
  • Proficiency with large-scale streaming data systems (Kafka, Kinesis, etc.)
  • Experience or proven knowledge of ML Ops and providing datasets to AI teams or systems
  • Attractive quarterly Discretionary variable pay dependent on your role
  • Stock options in a $450 million funded Series D scale-up company
  • 24 days annual leave + public holidays
  • 2 x Builder family days each year
  • Time off between Christmas and New Year
  • Generous Referral Bonus scheme
  • Fully funded Private Medical Insurance
  • Free lunch at our state of the art working environment in Gurugram