New Engen is seeking a Senior Data Engineer to lead the design, development, and optimization of the LIFT Digital Marketing Analytics Platform. The ideal candidate will have expertise in data engineering, analytics, and digital marketing platforms. This is a fully remote role based in India.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About New Engen
You know when you’re scrolling through your social media feed and come across an eye-catching ad? It was probably one of ours. New Engen is a marketing services and software company focused on helping companies achieve business breakthroughs through marketing experimentation. Why? Because our mission is to Elevate Marketing Teams. We’re looking for a technology manager to expand our technology and analytics offering for our clients - come grow with us.
We are focused on helping our partners achieve massive scale of new customer value across all digital marketing platforms. We are results driven, committed, iterative and transparent. Our teams of expert Marketers, Creative Designers and Analysts help tackle some of the most complex digital marketing challenges.
At New Engen we don’t just accept differences—we celebrate it, we support it, and we embrace it for the benefit of our employees, our partners, and our community. We are committed to equal employment opportunity and diversity.
We’re seeking an individual that is highly versed in digital marketing with the understanding of tracking and analytics to measure digital marketing performance. The ideal candidate will have a healthy balance of analytic capabilities and interpersonal communication skills. The role will support the New Engen client services team & all client accounts, by designing, developing, building and analyzing reports based on data extracted from various digital marketing platforms, Google & Adobe Analytics, Google Ads, Meta and other sources to be made available in the LIFT Digital Marketing Analytics Platform.
THE ROLE
We're seeking an experienced Senior Data Engineer who brings deep technical expertise in data engineering, analytics, and digital marketing platforms. You will take ownership of the architecture, development, and optimization of the LIFT Digital Marketing Analytics Platform — driving scalable, reliable, and insightful data solutions for our clients.
This is a fully remote role based in India, with required overlap with EST working hours.
We'd Love To Hear From You If
- You architect, build, and ship production-grade data systems
- You have strong opinions on data quality, scalability, and best practices — and can back them up
- You thrive in a cross-functional environment and can translate complex data concepts for non-technical stakeholders
- You're energized by leading technical direction and mentoring junior engineers
- You have an entrepreneurial mindset and take ownership of outcomes
- You leave your ego at the door and love building great things with great teams
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Data Engineering & Architecture Lead the design, development, and maintenance of scalable data pipelines and cloud-based data infrastructure. Define and enforce data modeling best practices, governance standards, and architectural decisions. Own the ETL/ELT processes that extract, transform, and load data from digital marketing platforms (Google Ads, Meta, Google Analytics, Adobe Analytics, etc.) into centralized data warehouses.
Advanced Data Science & Analytics Drive the development of proprietary data science reports, dashboards, and predictive models. Apply advanced statistical modeling, machine learning, and data mining techniques to extract actionable insights from complex, multi-source marketing datasets. Set the analytical standard for the team and introduce emerging methodologies.
Product Development Lead the technical development of the LIFT Digital Marketing Analytics Platform. Own the full lifecycle of feature development — from requirements gathering with stakeholders to deployment and iteration. Proactively identify opportunities to enhance platform performance, reliability, and user experience.
UI/UX Engineering Partner with product and design stakeholders to translate complex data into intuitive, visually compelling dashboards and interfaces. Champion usability best practices and ensure the platform delivers a seamless experience for end users.
Reporting & Insights Own and oversee the reporting infrastructure across client accounts. Deliver strategic insights and data-driven recommendations to internal teams and client stakeholders. Lead monthly, quarterly, and annual reporting cycles and presentations as needed.
Mentorship & Technical Leadership Serve as a technical leader and mentor to junior engineers and analysts. Establish coding standards, conduct code reviews, and champion best practices across the data engineering team. Contribute to hiring and growing the engineering team.
What You'll Bring
- 4+ years of experience in data engineering, analytics engineering, or a closely related role
- Expert proficiency in SQL and Python; strong working knowledge of R is a plus
- Deep hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow) and/or AWS
- Proven experience designing and maintaining cloud-based data pipelines and infrastructure at scale
- Strong expertise in BI and visualization tools such as Looker Studio, Tableau, or equivalent
- Experience with marketing analytics platforms (Google Ads, Meta, Adobe Analytics, etc.) and data connectors like Adverity or Supermetrics
- Proficiency with CRM and workflow automation platforms (e.g., HubSpot, Salesforce Datorama, Airtable)
- Demonstrated ability to apply statistical modeling and experiment design to marketing data (A/B testing, regression, attribution modeling, etc.)
- Strong experience with API integrations and building semi-automated data tools
- Exceptional communication skills — able to present complex analytical findings to both technical and executive audiences
- Proven ability to lead projects independently, manage multiple priorities, and deliver against deadlines
- Experience mentoring junior team members and driving technical best practices
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