Senior Data Engineer

IndiaOn-site

Responsibilities

Build and Scale Data Infrastructure
Design, develop, and maintain scalable data pipelines and cloud-based infrastructure that power our internal analytics platform.
Ensure data systems are reliable, efficient, and built to support growing client needs.
Own Data Architecture and Quality
Define and uphold best practices for data modeling, governance, and system design. Ensure data accuracy, consistency, and scalability across multiple marketing data sources.
Develop Client-Facing Solutions
Support the evolution of our analytics platform by building features, improving performance, and delivering intuitive data experiences for internal teams and clients.
Collaborate and Lead

Drive AI-Powered Innovation
Contribute to the development of AI-driven capabilities within our platform, including integrations with tools like Claude.
Help shape how we leverage AI to enhance data workflows, automation, and insights.
experience in data engineering, analytics engineering, or a related field
Strong proficiency in Python and SQL within production environments Hands-on
experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage) and/or AWS •
Familiarity with AI/LLM systems and integrations (e.g., Claude, OpenAI, tool calling, or similar technologies) •
Experience integrating APIs and working with complex, multi-source datasets
Strong understanding of data quality, scalability, performance optimization, and engineering best practices
Strong analytical thinking and problem-solving skills, with the ability to translate complex datasets into actionable insights
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders •
Experience working cross-functionally in fast-paced, collaborative environments
A proactive, ownership-driven mindset with the ability to operate independently and drive initiatives forward
Interest in emerging AI technologies and how they can enhance automation, workflows, and insight generation •

Provide guidance to junior team members and contribute to a strong technical culture grounded in best practices. WHAT YOU BRING 4+ years of

The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidate's qualifications and experience uniquely.

All legitimate job openings will be posted directly on our careers page, and all communication about these roles will come exclusively from Recruitment outreach, conducted via email through our ATS, Greenhouse, and never through unsolicited text messages or the @newengen.online domain.
If you have any concerns about the authenticity of any message claiming to be from New Engen, please contact us immediately at peopleteam@newengen.com before taking any further action.

At New Engen, we help brands grow—not just bigger, but smarter.
We’re a digital marketing agency built to drive meaningful impact across the entire customer journey, blending media, creative, analytics, influencer, and retail strategies into performance-driven campaigns.
Some clients partner with us through long-term agency relationships.
Others tap into specialized solutions—like Donut Studios, our in-house creative studio for platform-native and short-form content, or Acorn Creator Suite, our influencer marketing solution built for retail impact.
While each solution brings its own focus and flavor, they’re all part of how we deliver for our clients, together, as one team.
We’re a collaborative group of strategists, creatives, analysts, and makers who are all in on helping brands—and each other—thrive. We work hard, stay humble, and build with purpose.
In this role, you’ll take ownership of the architecture, development, and optimization of the LIFT Digital Marketing Analytics Platform, helping drive scalable, reliable, and insight-driven data solutions for our clients.
This is a fully remote role open to candidates based anywhere in India, with an expectation of overlap with EST working hours.
Work closely with engineers, analysts, and client teams to bring solutions to life.
Experience architecting, building, and maintaining scalable, production-grade data pipelines and cloud infrastructure