MarTech & Data Engineer

As a MarTech & Data Engineer at our company, your role will involve driving data-led marketing outcomes through a deep understanding of Martech tools, Customer Data Platforms (CDPs), Campaign Analytics, and Data Automation. This position is not just a traditional data engineer role but a unique opportunity to support and scale personalized marketing initiatives. **Key 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, HubSpot, 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. **Qualifications Required:** - 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, HubSpot, 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. As a MarTech & Data Engineer at our company, your role will involve driving data-led marketing outcomes through a deep understanding of Martech tools, Customer Data Platforms (CDPs), Campaign Analytics, and Data Automation. This position is not just a traditional data engineer role but a unique opportunity to support and scale personalized marketing initiatives. **Key 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, HubSpot, 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. **Qualifications Required:** - 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, HubSpot, 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.