MarTech & Data Engineer

We are looking for a Mar Tech & Data Engineer to join our team and help drive data-led marketing outcomes. This role is not a traditional data engineer position — it combines deep understanding of Martech tools, Customer Data Platforms (CDPs), Campaign Analytics, and Data Automation to support and scale personalized marketing initiatives.

If you're passionate about using data and marketing tech to optimize customer experiences and campaign performance, this role is for you.

Responsibilities:

Own and manage the marketing technology stack including CDPs, CRM, automation, and analytics platforms.
Integrate and optimize tools such as MoEngage, Insider, Tealium, Salesforce, Hub Spot, etc.
Build and maintain data flows and pipelines across marketing systems.
Collect, clean, and structure large datasets from multiple sources for marketing use cases.
Analyse customer behaviour, campaign performance, and segmentation to generate actionable insights.
Develop reports, dashboards, and visualizations using tools like Looker Studio, Power BI or Tableau.
Collaborate with CRM, media, and digital teams to define key metrics and improve customer journey touchpoints.
Ensure data quality, governance, and compliance across martech platforms.
Automate repetitive marketing operations and support campaign execution through data activation.
Stay updated on emerging Martech trends, tools, and best practices.
Train and support marketing teams in leveraging Martech platforms effectively.

Requirements:

Bachelor's degree in marketing, data science, statistics, computer science, or a related field.
3+ years of experience in marketing analytics, data operations, or martech enablement.
Proven experience with CDPs, marketing automation, and CRM platforms.
Tools experience with MoEngage, Salesforce, Insider, Tealium, Hub Spot, etc.
Strong in SQL, and familiarity with data scripting (e.g., Python or JavaScript).
Excellent data analysis, reporting, and visualization skills.
Strong grasp of customer segmentation, targeting, and personalization tactics.
Detail-oriented with a passion for data integrity and quality.
Ability to work independently and cross-functionally with marketing and tech teams.
Familiarity with web technologies like HTML, CSS, JavaScript is a must.